ABDELHAKIM Idir

MEDDAH Sabrina

Interaction Analysis and Coupled Vibrations Control in Rotary Drilling Systems

REGHIOUA MOUSSA , NOUIBAT ALI CHEMSE EDDINE

Machine Learning-Based Predictive Pressure Control in Electrolysis Systems

GOUADRIA Aya , ZEROUGA Hayat

METHODES D’APPROXIMATION DES SYSTEMES D’ORDRE FRACTIONNAIRE

BENNACEUR Abdelbasset , HAMADI Kotaiba

Conception d’un régulateur PID/FOPID Pour les systèmes avec retard

TERCHI Nabil , BARKA Noureddine

Commande robuste des systèmes linéaires d'ordre fractionnaire

Mansor Souad , Bouguerra Khouloud

Commande robuste d'ordre fractionnaire basée sur la ''Fractionalisation" de correcteur PID classique

Briki Mohamed

Conception des contrôleurs PID d'ordre fractionnaire des systèmes d'ordre entier et d'ordre fractionnaire

HADJ HAFSI Mohammed , HADI Kouider

Commande PI adaptative robuste des systèmes linéaires

NECHE Salem , BOUREZG Salah Eddine

Stratégies de Commande de la Machine Asynchrone : Etude et comparaison

LAHOUAR Khalid , SILINI Abdelbasset

Etude Comparative de la Commande PID Classique et la Commande d'Ordre Fractionnaire : Application à un Moteur à Courant Continu

Electric furnaces play a vital role in industrial thermal processes, offering high energy efficiency and precise temperature control. However, challenges such as nonlinear system dynamics, inherent time delays, and thermal inertia limit the effectiveness of conventional control methods. This paper presents a novel adaptive Fractional order proportional-integral-derivative accelerated (FO-PIDA) controller optimized via a Modified Flower Pollination Algorithm (MFPA) to enhance temperature regulation in electric furnaces. The optimization strategy explicitly incorporates performance criteria including transient response measures and robustness analysis to ensure reliable operation under varying conditions. The proposed controller is evaluated against established benchmarks, namely classical MFPA-based PIDA and MFPA-based PID controllers. Simulation results demonstrate that the MFPA-optimized Proposed controller achieves superior tracking accuracy, reduced rise time, and improved overall dynamic performance. These findings underscore the potential of integrating fractional-order control with advanced metaheuristic optimization to significantly improve thermal system control in industrial applications.

Citation

Abdelhakim idir , ,(2025-12-16), Enhanced Temperature Control of Electric Furnaces Using MFPA Optimized Fractional-Order PIDA Controller,The ICFDA 2025 Conference on Fractional Differentiation and its Applications,Algiers, Algeria.

Fractional calculus is the most popular form of control engineering in many fields, including electric drive ‎applications. One of the most common applications in all fields of electric drives is the control of the dual-star ‎induction machine (DSIM). Several control techniques have been proposed for this type of multiphase motor, ‎ranging from classical PID-based methods to the most sophisticated advanced methods, including fractional-‎order controllers. Furthermore, in the case of a DSIM, which has been widely studied recently, inevitable ‎harmonic currents are generated, which is a major problem and leads to increased losses and reduced system ‎efficiency. Therefore, this paper presents a fractional order controller optimized using a dedicated method to ‎improve system performance while minimizing overshoot, reducing response time, and minimizing rejection ‎time, and a modified switching table has been developed to reduce harmonic currents using virtual voltage ‎vectors. Simulation results validate the effectiveness of the proposed method.‎

Citation

Abdelhakim idir , ,(2025-12-16), Enhanced Control Technique for Dual-Star Induction Machine Drive: A Fractional-Order ‎Controller-Based DTC Approach with Virtual Voltages,2025 IFAC International Conference on Fractional Differentiation and its Applications,Algiers, Algeria.

This paper evaluates three advanced microgrid control strategies—Droop Control, Model Predictive Control (MPC), and Fuzzy Logic Control (FLC)—under varying renewable penetration and grid conditions. A detailed microgrid model with storage and realistic loads is developed, and performance indicators such as frequency deviation, voltage stability, energy cost, and loss of load probability are assessed. Statistical validation using two-way ANOVA confirms significant differences, with MPC achieving the best overall performance, FLC showing strong robustness, and droop control remaining reliable but less efficient. A regression model further predicts energy cost as a function of control strategy, renewable integration, and storage capacity, providing practical guidance for cost-effective and reliable microgrid operation.

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Abdelhakim idir , ,(2025-12-10), Performance Evaluation of Advanced Control Strategies for Microgrids Using ANOVA-Based Statistical Analysis,The 2nd International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE2025),M'Sila, Algeria

Managing liquid levels in industrial tanks is crucial, especially for precise component mixing. Traditional PID controllers, though widely used, often exhibit slow settling times and excessive overshoot, which can affect system performance. This study proposes a fractionalized order PID (FrOPID) controller optimized using the Modified Artificial Hummingbird Algorithm (MAHA) to enhance stability and response in a three-tank system. The controller’s effectiveness is evaluated under varying valve coefficient (Kv) and tank cross-sectional area conditions. A comparative analysis with advanced metaheuristic-optimized PID controllers confirms the superiority of the MAHA/FrOPID in terms of accuracy, response speed, and robustness, making it a highly efficient solution for liquid level control.

Citation

Abdelhakim idir , , (2025-11-17), Enhancing the Transient Performances and Stability of Three-Tank Liquid Level using a Modified PID Controller, Revue Roumaine des Sciences Techniques, Vol:70, Issue:4, pages:567-572, l'Académie Roumaine, Section Ingénierie

This study introduces the development and implementation of an advanced Proportional-Integral-Derivative (PID) control strategy, termed the Proportional Fractionalized Integral Derivative (PD) controller, aimed at enhancing transient dynamics, frequency response, and robustness in the regulation of electric furnace temperature. A key feature of the proposed controller design is the incorporation of the Harris Hawks Optimization (HHO) algorithm, employed to optimally tune the controller parameters. The selection of HHO is justified by its superior global search capability, fast convergence, and effectiveness in avoiding local minima, making it well-suited for addressing the complex, nonlinear characteristics of electric furnace systems. The suggested PD controller is used for the first time in electric furnace applications, providing a novel enhancement to traditional PID controllers by incorporating a fractional-order element. The controller’s efficacy is evaluated through stringent simulations encompassing step reference alterations, load disturbances, and continuous random setpoints. Compared to classical PID, PID Acceleration (PIDA), and Real PID with second-order derivative (RPIDD²) controllers, the proposed PD controller exhibits superior performance, achieving the fastest rise time (1.65 s), shortest settling time (3.43 s), and lowest overshoot (0.12%). It also provides the best robustness trade-off, with high gain and phase margins, the largest bandwidth, and the lowest error indices. Frequency-domain analysis further confirms its enhanced disturbance rejection and stability, underscoring the suitability of the proposed controller and HHO for accurate, reliable, and energy-efficient temperature regulation in nonlinear industrial systems.

Citation

Abdelhakim idir , , (2025-09-15), Design and Performance Evaluation of a Novel FOPID Control Strategy for Electric Furnace Temperature Regulation using HHO Algorithm, Applications of Modelling and Simulation, Vol:9, Issue:, pages:349–362, ARQII Publication, Skudai, Johor, Malaysia

In this study, a modified PID controller (noted PIDα) optimized using the Harris Hawks Optimization (HHO) algorithm is proposed for system control. The performance of the proposed HHO - PIDα controller is assessed and benchmarked against PID controllers optimized using the Electric Eel Foraging Optimization (EEFO), Modified Electric Eel Foraging Optimization (MEEFO), Whale Optimization Algorithm (WOA), and the original Harris Hawks Optimization (HHO). The comparative analysis demonstrates the effectiveness and superiority of the HHO-PIDα controller in terms of system response, optimization performance and robustness analysis.

Citation

Abdelhakim idir , ,(2025-07-15), PIDα Controller Design Technique for an Electric Furnace Temperature Control System,2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Chania, Crete, Greece, 2025, pp. 1-6,Greece

Recently, automotive manufacturers have prioritized cruise control systems and controllers, recognizing them as essential components requiring precise and adaptable designs to keep up with technological advancements. The motion of vehicles is inherently complex and variable, leading to significant non-linearity within the cruise control system (CCS). Due to this non-linearity, conventional PID controllers often perform suboptimally under varying conditions. This research introduces a fractionalized-order PID (FrOPID) controller, which has an extra parameter that makes regular PID controllers work better. A comparative analysis is conducted between classical PID controllers and FrOPID controllers optimized using three metaheuristic algorithms: Harris Hawks Optimization (HHO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). The evaluation is carried out using a linearized model of the vehicle cruise control system (VCCS). The results demonstrate that fractionalized-order PID controllers significantly outperform conventional PID controllers, particularly regarding rise time and settling time. Among the designs that were considered, the one that combines HHO and FrOPID works the best at finding a balance between responsiveness and stability. It is also the most durable and flexible, able to adapt to changes in vehicle mass and environmental conditions. This highlights the effectiveness of fractionalized-order controllers in managing the dynamic behavior of vehicles

Citation

Abdelhakim idir , , (2025-03-18), Performance Analysis of Fractionalized Order PID Controller-based on Metaheuristic Optimisation Algorithms for Vehicle Cruise Control Systems, Science, Engineering and Technology, Vol:5, Issue:1, pages:1-14, O.D. IMS Vogosca, Co-Publisher: University of Sarajevo - Faculty of Traffic and Communications Sarajevo

Composite insulators demonstrate superior electrical performance in contrast to standard insulators. Nevertheless, the deterioration of composite insulator and the challenges in identifying defects are the primary drawbacks of these insulators. This study investigates the effect of water droplets on the electrical behavior of composite insulators, which are widely used in high-voltage applications. Using COMSOL software, a Finite Element Model (FEM) was developed to simulate the electric field distribution on the surface of a composite insulator in the presence of water droplets. The results indicate that the existence of water droplets increases the electric field intensity by approximately 33.33% when the number of droplets increases from two to six. The simulations also reveal that water droplets significantly increase the electric field’s intensity, which affects the electric field and potential distribution on the insulator’s surface. Furthermore, the conductivity of water droplets was found to have a negligible impact on the electric field distribution along the insulator. To systematically evaluate the influence of various factors, Response Surface Methodology (RSM) was employed in combination with Analysis of Variance (ANOVA) to analyze the interactions between water droplet number, pollution, and applied voltage. The statistical analysis demonstrated that the maximum electric field intensity increased by nearly 38.3% as water droplet conductivity rose from low to high levels. RSM was used to generate a second-order polynomial model that describes the relationship between these factors and the electrical performance of the insulator, allowing for the identification of significant trends and interactions. The findings provide valuable insights for the design and development of composite insulators that are more resilient to environmental factors, enhancing their overall electrical performance.

Citation

Abdelhakim idir , , (2025-03-02), A finite element with statistical analysis study to investigate the electrical performance of composite insulators under water droplet impact, Scientific Reports, Vol:15, Issue:, pages:1-20, Springer Nature.

Recently, direct torque control (DTC) of the dual-star induction motor (DSIM) has been widely appreciated over other conventional control techniques due to its numerous advantages, notably its simple structure, good dynamic performance, and excellent robustness. However, despite these qualities, it is often confronted with torque ripples and harmonic currents that limit its operational efficiency. To overcome these challenges and improve the global control of the drive system, this paper proposes a novel study to improve the performance of DTC for DSIM based on a set of three techniques. Firstly, by appropriately selecting two voltage vectors at each sampling period, the impact of current harmonics is considerably reduced, but torque and flux ripples remain significant. Secondly, the method above is combined with a switching table featuring three virtual voltage groups, significantly reducing torque ripples and harmonic losses. Finally, an intelligent control based on artificial neural networks (ANNs) will replace the speed regulator, the above switching table, the two-level hysteresis flux regulator, and the seven-level hysteresis torque regulator to select an optimal virtual voltage vector. The performance of the final technique shows the following advantages: further reduction of torque and stator flux ripples, less overshoot in speed and torque, and almost complete suppression of harmonic currents. The simulation results presented in this article confirm the effectiveness of the proposed technique.

Citation

Abdelhakim idir , , (2025-03-01), Virtual vector-based neural network DTC scheme for dynamic performance improvement of dual-star induction motor drive, e-Prime - Advances in Electrical Engineering, Electronics and Energy, Vol:11, Issue:, pages:1-19, Elsevier

A rotary drilling rig is a critical system in the oil and gas industry; nevertheless, vibrations during drilling, particularly coupled axial and torsional vibrations, can significantly reduce the rate of penetration and pose challenges to safety, drilling performance, and borehole quality. The nowadays developed control systems are mainly designed for individual vibration types while neglecting the coupling effects of these vibrations. Therefore, the main objective of this paper is to fill this gap by designing and implementing a fractional-order PID (FOPID) controller to mitigate the impact of the coupled axial–torsional vibrations. A ‘Measurement While Drilling’ tool has been logged in three wells in an Algerian petroleum field to collect the coupled axial–torsional vibrations; then, simulation scenarios have been conducted to mimic the dynamic of the rotary drilling system in these three wells. The obtained results demonstrated the ability of the designed FOPID controller to mitigate both axial and torsional vibration even with the presence of high-frequency strongly coupled mode. Moreover, comparative studies were conducted between the FOPID and conventional PID controllers, as well as between FOPID controllers tuned with particle swarm optimization (PSO) and trial-and-error methods. The results demonstrate that the FOPID controller provided improved performance than the conventional PID controller, especially in terms of closed-loop stability under high-frequency vibration scenarios. Furthermore, the PSO-tuned FOPID controller also showed superior vibration reduction and better robustness when compared to the trial–error tuning FOPID controller. Thus, it is highly recommended to consider this proposed controller as a reliable solution for improving drilling performance and safety in rotary drilling systems.

Citation

Abdelhakim idir , , (2025-02-05), Fractional-order PID controller design for strongly coupled high-frequency axial–torsional vibrations in drill string system, International Journal of Dynamics and Control, Vol:13, Issue:2, pages:1-18, Springer Nature.

Mechanical systems find applications across various scientific disciplines, particularly in the domain of control strategies, which has drawn significant interest from researchers. A fractional adaptive PID (FAPID) controller is suggested as a means to improve system performance in this study—specifically, rise time, settling time, and overshoot—by incorporating fractional-order integrators and differentiators into the traditional adaptive PID feedback mechanism. The performance and efficiency of the suggested FAPID controller are matched with those of the traditional adaptive PID controller in order to show the validity of this method. Analyzes and numerical simulations help to find the most effective controller. Regarding settling time, rising time, overshoot, and mean absolute error, the fractional-order PID controller performs better than its classical equivalent. Furthermore, extending this method to other fractional and integer-order systems helps to maximize noise rejection and performance.

Citation

Abdelhakim idir , , (2025-01-08), Performances analysis and improvement of mechanical system using the fractional order adaptive PID controller, Brazilian Journal of Technology, Vol:8, Issue:1, pages:1-19, the Brazilian Journals Publicações de Periódicos e Editora Ltda

Maintaining the integrity and longevity of structures is essential in many industries, such as aerospace, nuclear, and petroleum. To achieve the cost-effectiveness of large-scale systems in petroleum drilling, a strong emphasis on structural durability and monitoring is required. This study focuses on the mechanical vibrations that occur in rotary drilling systems, which have a substantial impact on the structural integrity of drilling equipment. The study specifically investigates axial, torsional, and lateral vibrations, which might lead to negative consequences such as bit-bounce, chaotic whirling, and high-frequency stick-slip. These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time. The study investigates the dynamic interactions of these vibrations, specifically in their high-frequency modes, using field data obtained from measurement while drilling. The findings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys tem performance. The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems. Therefore, integrating these compo nents can increase the durability of drill bits and drill strings, as well as improve the ability to monitor and detect damage. Moreover, by exploiting these findings, the assessment of structural resilience in rotary drilling systems can be enhanced. Furthermore, the study demonstrates the capacity of structural health monitoring to improve the quality, dependability, and efficiency of rotary drilling systems in the petroleum industry.

Citation

Abdelhakim idir , , (2025-01-05), Dynamic Interaction Analysis of Coupled Axial-Torsional-Lateral Mechanical Vibrations in Rotary Drilling Systems, Structural Durability and Health Monitoring,, Vol:19, Issue:1, pages:77-103, Tech Science Press

This paper proposes an optimization approach for a Fractional Order PID (FOPID) controller in a three-tank system using the Nelder-Mead algorithm. The FOPID controller is designed to control the liquid level in the three-tank system, and the Nelder-Mead algorithm is used to optimize the controller parameters for optimal control performance. The optimization problem is formulated to minimize the error between the desired and actual liquid levels, and the Nelder-Mead algorithm is used to search for the optimal values of the FOPID controller parameters. The results show that the optimized FOPID controller achieves better control performance. The results are compared with our previous results obtained using the Fractionalized order PID optimized by Prairie Dog Optimization-based (PDO), which demonstrates the effectiveness of the Nelder-Mead algorithm for optimizing the FOPID controller for liquid level control in a three-tank system. The practical contribution of this study is significant, as it proposes an approach that improves the control performance of three-tank systems. The results of this study can be applied in various fields, such as chemistry, petrochemistry, and pharmacy, where liquid level control is crucial for process safety and quality. Furthermore, this study opens up perspectives for the use of the Nelder-Mead algorithm in other process control applications where accuracy and speed are essential.

Citation

Abdelhakim idir , Karim Benaouicha, Hamza Akroum, Yassine Bensafia, , (2024-12-16), Optimizing a FOPID controller for liquid level control in a three-tank system with the Nelder-Mead algorithm, Studies in Engineering and Exact Sciences, Vol:5, Issue:2, pages:22, Barbara Bonfim

In recent years, there has been a significant increase in the study of fractional systems and fractional-order control (FOC), which has proven effective in enhancing plant dynamics, particularly in terms of disturbance rejection and response time improvement. Traditionally, the Proportional-Integral-Derivative (PID) controller has been valued for its simplicity and ease of parameter adjustment. However, as the complexity of control systems escalates, several specialised PID controllers have been designed to address specific challenges. Despite its effectiveness, the conventional PID controller often faces limitations in complex systems requiring high precision and adaptive dynamics. Researchers have increasingly focused on the Fractional Proportional-Integral-Derivative (FPID) controller to address these deficiencies. The FPID controller incorporates fractional integrators and derivatives, facilitating improved tuning of system dynamics and offering increased control over response characteristics. This study introduces a fractional integrator in PID control to improve trajectory tracking and reduce delay time in Selective Compliance Articulated Robot Arm (SCARA) systems. Unlike traditional PID controllers, which may struggle with high-frequency noise and parameter variations, the fractional integrator offers enhanced noise suppression and adaptability. The fractional PID approach is relevant beyond robotics, including many systems like temperature control, electrical motor regulation, power electronics, and biomedical control systems, where accuracy and resilience to disturbances are essential. Unlike traditional PID, the proposed technique offers more adaptability in handling transient responses and greater disturbance suppression, making it a viable solution for modern, complex control environments.

Citation

Khatir KHETTAB , Abdelhakim idir , , (2024-11-24), Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller, SCIENCE, ENGINEERING AND TECHNOLOGY, Vol:5, Issue:1, pages:1-10, Creative Commons Attribution 4.0 International License

Maintaining the integrity and longevity of structures is essential in many industries, such as aerospace, nuclear, and petroleum. To achieve the cost-effectiveness of large-scale systems in petroleum drilling, a strong emphasis on structural durability and monitoring is required. This study focuses on the mechanical vibrations that occur in rotary drilling systems, which have a substantial impact on the structural integrity of drilling equipment. The study specifically investigates axial, torsional, and lateral vibrations, which might lead to negative consequences such as bit-bounce, chaotic whirling, and high-frequency stick-slip. These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time. The study investigates the dynamic interactions of these vibrations, specifically in their high-frequency modes, using field data obtained from measurement while drilling. The findings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling system performance. The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems. Therefore, integrating these components can increase the durability of drill bits and drill strings, as well as improve the ability to monitor and detect damage. Moreover, by exploiting these findings, the assessment of structural resilience in rotary drilling systems can be enhanced. Furthermore, the study demonstrates the capacity of structural health monitoring to improve the quality, dependability, and efficiency of rotary drilling systems in the petroleum industry.

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Abdelhakim idir , MEDDAH, Sabrina,, TADJER, Sid Ahmed,, Kong Fah Tee,, Mohamed Zinelabidine Doghmane, Madjid Kidouche, , (2024-11-15), Dynamic Interaction Analysis of Coupled Axial-Torsional-Lateral Mechanical Vibrations in Rotary Drilling Systems., Structural Durability & Health Monitoring (SDHM), Vol:19, Issue:1, pages:27, Tech Science Press

This paper presents a comprehensive study on the optimization of fractional-order PIλDμ and classical PID controllers for fractional systems that exhibit first-order and second-order dynamics. Fractional-order systems, which are better suited for modeling real-world processes with memory and hereditary properties, challenge traditional integer-order control techniques. In this work, the PIλDμ controller, with its additional tuning parameters, offers greater flexibility and precision in controlling such systems compared to the conventional PID controller. A global optimization algorithm is employed to fine-tune the controllers, ensuring optimal performance across a wide range of dynamic conditions. The optimization process is carried out using time-domain performance metrics such as rise time, settling time, and overshoot to achieve improved control quality. Numerical simulations on representative first-order and second-order fractional models demonstrate the superior performance of the fractional-order PIλDμ controller in comparison to the PID controller. The results indicate that the PIλDμ controller, combined with a global optimization algorithm, significantly enhances system response, especially for complex fractional dynamics, making it a more effective solution for advanced control applications.

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Abdelhakim idir , Benaouicha, Karim, Akroum, Hamza, Bensafia, Yassine, ,(2024-11-09), Optimization of PIλDμ and PID Controllers for Fractional Systems Behaving as Slow First-Order and Fast Second-Order Systems.,4th International Conference on Electronics and Electrical Engineering (IC3E2024),Bouira, Algeria

Three-tank liquid level control systems are inherently complex, characterized by varied response times among tanks and sensitivity to disturbances, such as changes in inlet flow rates or desired level variations. To maintain the liquid level within desired ranges despite these perturbations, a stable and robust control strategy is paramount. The design of Fractional Order Proportional-Integral-Derivative (FOPID) controllers for such systems necessitates meticulous selection of the objective function to ensure optimal performance. This study investigates the impact of four commonly used objective functions - Integral Square Error (ISE), Integral Absolute Error (IAE), Integral Time Square Error (ITSE), and Integral Time Absolute Error (ITAE) - on the optimal design of FOPID controllers for a three-tank system. Through detailed simulations and comparative analyses, we evaluate the performance of FOPID controllers designed based on each objective function, considering response time, overshoot, steady-state error, and robustness against disturbances. The results reveal significant differences in system performance based on the chosen objective function, highlighting the importance of appropriate objective function selection to meet specific performance requirements. This research provides invaluable guidelines for control system designers, underscoring the impact of the objective function on FOPID controller optimization in liquid level control applications.

Citation

Abdelhakim idir , Benaouicha Karim, Hamza Akroum, ,(2024-11-02), Analysis of the Impact of Objective Function Choice on Optimal FOPID Controller Design for Three Tanks Liquid Level Control.,4th International Conference on Electronics and Electrical Engineering (IC3E2024), University of Bouira, Algeria.,Bouira; Algeria

Modeling dynamic vibrations during drilling remains a major challenge for drillers. Before developing controllers to suppress or at least mitigate these vibrations, it is crucial to analyze how the drill bit responds to them. Numerous models have been proposed in the literature to characterize the drill string’s behavior under axial-torsional vibrations. To enhance controller robustness, it is essential to examine the interaction effects within the control system, particularly the axial-torsional coupling. This study focuses on modeling the system and analyzing the interaction between axial and torsional vibrations to improve controller robustness by reducing coupled oscillations.

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Abdelhakim idir , Meddah Sabrina, Doghmane Mohamed Zinelaabidine, Tadjer Sid Ahmed ;, Kidouche Madjid, ,(2024-10-26), Modeling of a coupled severe axial-torsional vibrations in drill string petroleum system,8th International Conference on Artificial Intelligence in Renewable Energetic Systems ICAIRES2024, October 26-28, 2024 Tipasa, ALGERIA,Tipasa, ALGERIA

Modeling dynamic vibrations during drilling remains a major challenge for drillers. Before developing controllers to suppress or at least mitigate these vibrations, it is crucial to analyze how the drill bit responds to them. Numerous models have been proposed in the literature to characterize the drill string’s behavior under axial-torsional vibrations. To enhance controller robustness, it is essential to examine the interaction effects within the control system, particularly the axial-torsional coupling. This study focuses on modeling the system and analyzing the interaction between axial and torsional vibrations to improve controller robustness by reducing coupled oscillations.

Citation

Abdelhakim idir , Meddah Sabrina, Doghmane Mohamed Zinelaabidine, Tadjer Sid Ahmed ;, Kidouche Madjid, ,(2024-10-26), Modeling of a coupled severe axial-torsional vibrations in drill string petroleum system,8th International Conference on Artificial Intelligence in Renewable Energetic Systems ICAIRES2024, October 26-28, 2024 Tipasa, ALGERIA,Tipasa, ALGERIA

In order to control the liquid level in a Continuous Tank System (CTS), a Fractionalized-Order Proportional-Integral-Derivative (FrOPID) controller was developed, as this paper describes. To identify the ideal controller parameters, the study investigates the proposed controller in conjunction with a number of traditional PID tuning techniques. The system's stability is further confirmed by a thorough examination of its operation that takes into account both frequency-domain properties (gain and phase margins) and time-domain metrics (settling time and overshoot). The effectiveness of the proposed Prairie Dog Optimization-based FrOPID (PDO/FrOPID) controller is evaluated in detail through a comparative analysis with classical PID controllers optimized using advanced metaheuristic algorithms, such as the hybrid differential evolution PSO with an aging leader and challengers (ALC-PSODE), particle swarm optimization (PSO), covariance matrix adaptation evolution strategy (CMA-ES), and arithmetic optimization algorithm with Harris hawks optimization (AOA-HHO). The results illustrate the PDO/FrOPID controller's efficacy for practical industrial applications by showing that it exhibits improved convergence, stability, and optimization capabilities. The potential of Fractionalized-Order Proportional-Integral-Derivative (FrOPID) control in controlling liquid levels in three-tank systems is highlighted in this study. The PDO/FrOPID controller performs better than benchmark algorithms, demonstrating its usefulness in industrial control settings and advancing the fields of process optimization and metaheuristic-based control systems. By using cutting-edge control techniques like the Fractionalized-Order PID (FrOPID) controller, engineers and practitioners now have more chances to improve industrial processes and automation.

Citation

Abdelhakim idir , , (2024-10-10), Fractionalized order PID controller design for three tanks liquid level control, Studies in Engineering and Exact Sciences, Vol:5, Issue:2, pages:21, Studies Publicações

The aim of this research was to develop a high performance adaptive control strategy based on the model reference adaptive control (MRAC) approach, using the MIT (Massachusetts Institute of Technology) law rule as an adjustment mechanism to control the speed of a DC motor. In this work, we propose a modified model reference adaptive control (MRAC) to exploit the advantages of adaptive control within the classical feedback loop. This new control strategy is a hybrid between the classical control loop and MRAC, designed specifically for the control of a DC motor system. The modified MRAC demonstrates remarkable robustness and superior control performance, particularly in terms of overshoot percentage, settling time, rise time and disturbance rejection. The effectiveness of the proposed control strategy was evaluated with the use of various reference signals.

Citation

Abdelhakim idir , , (2024-09-19), Robust Adaptive Speed Control for the DC Motor Based on a Modified MRAC, Communications - Scientific Letters of the University of Zilina, Vol:26, Issue:4, pages:9, University of Zilina

This research aims to investigate the interaction analysis and decoupling of axial torsional vibrations in rotary drilling systems. The primary focus lies in proposing effective compensators for the decoupling process, allowing the extension of the proposed methodology from single-input single-output (SISO) systems to multi input multi-output (MIMO) systems. Specifically, the objective is to address the strongly interactive terms between the inputs and outputs of the rotary drilling systems. By achievingthis, the interconnected multi-loop components canbetreated as aseriesofSISO subsystems,reflecting the comprehensivedynamicsoftheoriginal system. The study carefully examines two distinct multivariable systems: a theoretical two-input two-output(TITO)systemandanactualrotarydrillingsystem. The results demonstrate the efficiency of the proposed approach, emphasizing its superiority over conventional methods. Notably, the proposed methodology effectively reduces dynamic error, settling time, and rise time, highlighting its potential for enhancing the overall performance and robustness of rotary drilling systems.

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Abdelhakim idir , Meddah Sabrina, Tadjer Sid Ahmed, Kidouche Madjid, Doghmane Mohamed Zinelabidine, , (2024-06-30), Interaction Analysis And Decoupling Of Axial-torsional Vibrations In Rotary Drilling Systems, International Journal of Automation and Safety, Vol:2, Issue:1, pages:7, ASJP

Rotary drilling systems experience strong coupling between axial and torsional vibrations, which has a complex impact on drilling performance. Many researchers have studied each type of vibration separately, but the robustness of the developed controllers depends on the coupling effects of the other ignored vibrations. To ensure the robustness of such controllers, it is necessary to analyze the interaction effect of the control system, especially the axial-torsional effects. PID controllers have been successfully used to stabilize such engineering problems with highly coupled interactions. This paper investigates the interaction between axial and torsional vibrations based on a finite element model and proposes a PID controller for the coupled system based on the automation results. The main contribution of this study is to improve the controller's robustness in mitigating the coupled vibrations. An overview of finite element modeling is also given in this paper. The results demonstrate the improvement provided by this research work.

Citation

Abdelhakim idir , ,(2024-06-25), Control of coupled axial-torsional vibrations in petroleum drill string using a fractional approach,9th International Symposium on Hydrocarbons and Chemistry (ISHC9),Boumerdes; Algeria

Modeling dynamic vibration during drilling is one of the main challenges facing drillers. Before developing controllers to eliminate or at least minimize this phenomenon, it is necessary to study how the drill bit handles these vibrations. In the literature, many models have been designed to represent the behavior of the drill string under the effect of axial-torsional vibrations. Therefore, to ensure good robustness of these controllers, it is necessary to analyze the interaction effect of the control system, specifically the axial-torsional effects. The main objective of this paper is to model our system and study the interaction between axial and torsional vibrations to improve the robustness of the controller by attenuating the coupled vibrations.

Citation

Abdelhakim idir , ,(2024-06-25), Modeling and interaction analysis of coupled severe axial-torsional vibrations in petroleum rotary drilling systems,9th International Symposium on Hydrocarbons and Chemistry (ISHC9),Boumerdes; Algeria

In this study, a fractionalized PID controller based on particle swarm optimization (PSO/FrPID) is presented for automobile cruise control systems. This system, known for its significant nonlinearity, has been linearized around its equilibrium point. In this method, the PID controller is designed using fractionalized integral and integer orders. This approach increases the parameters of the modified PID controller to four. The effectiveness of the proposed controller is evaluated in comparison to traditional PID methods, atomic search optimization (ASO/PID), particle swarm optimization (PSO/PID), and the genetic algorithm (GA-PID). The proposed methodology for the functioning of the vehicle cruise control system has proven to be superior to other promising methods documented in the literature, as confirmed by comparative evaluations that take into account both transient and frequency stability.

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ABDERRAHIM Zemmit , Abdelhakim idir , ,(2024-06-17), PID Controller Design with a New Method Based on Fractionalized Integral Gain for Cruise Control System,2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe),Roma ; Italy

This paper proposes a new design of a speed regulator loop based on a reduced-order fractionalized proportional-integral controller (ROFrPI) for direct torque control (DTC) of a dual-star induction motor drive with less harmonics in order to improve speed and electromagnetic torque responses. The developed approach employs a modified switching table of DTC to control the stator flux in the harmonic subspace and eliminate circulation currents and therefore obtain purely sinusoidal current form. The effectiveness of the proposed configuration has been tested under various operating conditions by evaluating transient speed and torque responses. Moreover, a comparative investigation has been carried-out to evaluate the performance of the proposed ROFrPI controller for five fractional-order integrator values using the Matsuda approximation. For this, the obtained results demonstrate that the proposed controllers in the speed regulator loop exhibit high performance and better resilience than the conventional controller in terms of overshoot, settling time, and rise time for speed and torque.

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Abdelhakim idir , , (2024-05-17), Reduced-Order Frac tionalized Controller for Disturbance Compensation Based on Direct Torque Control of DSIM With Less Harmonic”,, ELECTRICA, Vol:24, Issue:2, pages:13, Istanbul University

Rotary drilling system is an important and crucial electromechanical system used in petroleum industry, it is used to drill holes and extract oil and gas from targeted reservoirs beneath the surface. The rate of penetration (ROP) is one of the quantitative metrics used to assess the performance of the drilling system. However, the appearance of unwanted vibrations generally leads to decrease of this performance and increase the nonproductive time (NPT), in addition to drill string damages and wears. These vibrations are classified according to their propagation direction into three types: Axial, Lateral and Torsional. Many researches have been dedicated to designing robust controller to mitigate such vibrations separately. Nevertheless, vibrations often occur simultaneously, with interactions between them. This interaction can have a direct influence on the robustness of the designed controllers. Thus, in order to design a robust controller that mitigate the most frequent vibrations (Axial and torsional), it is necessary to analyze the interaction between them and decouple them before application of any controller. The main objective of this study is to analyze the interaction between the axial and torsional vibrations in the Two-input two-output (TITO) drill string model and to design appropriate decouplers for the system. Based on the obtained results, we demonstrate a significant interaction between the torsional and axial vibrations, and proved that the introduced decouplers have omitted these interaction terms with a minimum influence on the whole dynamic of drill-string system. Therefore, applying this decoupling process is highly recommended to enhance the robustness of the controller in mitigating axial and torsional vibrations simultaneously.

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Abdelhakim idir , Sabrina Meddah;, Sid Ahmed Tadjer;, Madjid Kidouche;, Mohamed Zinelabidine Doghmane;, ,(2024-05-12), Axial-torsional vibrations interaction analysis and decoupling in drill string systems,2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC),Setif, Algeria

This article presents a novel approach for controlling an induction motor (IM) drive using a fractionalized order proportional integral (FrOPI) controller within an indirect field-oriented control (IFOC) scheme. In contrast to the conventional Integer Order PI controllers (IOPI), the FrOPI controllers demonstrate enhanced performance owing to their nonlinear characteristics and the inherent iso-damping property of fractional order operators. The performance of the induction motor is thoroughly assessed under various conditions, including starting, running, speed reversal, and sudden changes in load torque. Simulation results are then presented to confirm the effectiveness of the induction motor drive when utilizing the FrOPI controller.

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Abdelhakim idir , Zahira Ousaadi,, Hamza Akroum,, , (2024-03-01), Robustness Enhancement of Fractionalized Order Proportional Integral Controller for Speed Control of Indirect Field-Oriented Control Induction Motor., Przeglad Elektrotechniczny, Vol:23, Issue:3, pages:6, Wydawnictwo SIGMA

Drilling operations can encounter considerable challenges posed by strong, coupled vibrations that exert a complex influence on rotary drilling system performance. These vibrations are classified into three distinct types based on their propagation direction: axial, lateral, and torsional. Previous research efforts have predominantly focused on examining each vibration type in isolation. However, the effectiveness and resilience of developed controllers are profoundly affected by the often overlooked coupling effects arising from other types of vibrations. In this study, we propose the implementation of a Proportional-Integral-Derivative (PID) controller for the coupled Axial-Torsional vibration system. The research presented herein is dedicated to investigate the performance of the controller under strongly coupled vibrations. To address the dynamic vibrations encountered during drilling, it is imperative to understand the intricate behavior of the drill bit in response to these vibrations before designing controllers to mitigate their impact. Numerous models have been proposed in the existing literature to elucidate the behavior of the drill string under axial-torsional vibrations. The objective of this research is to develop a comprehensive model of the drilling system and investigate the robustness of the PID controller to mitigate the adverse effects of coupled Axial-Torsional vibrations. By effectively analysing the obtained results, this study has contributed to the optimization and improvement of drilling operations under sever coupled vibrations.

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Abdelhakim idir , Sabrina Meddah,, Sid Ahmed Tadjer,, Mohammed Doghmane,, Madjid Kidouche, , (2024-03-01), PID Control Design of Strongly Coupled Axial-Torsional Vibrations in Rotary Drilling Systems., Przeglad Elektrotechniczny, Vol:23, Issue:3, pages:6, Wydawnictwo SIGMA

In this paper, the effect of approximation approaches on a novel low-order fractionalized proportional–integral–derivative (LOA/FPID) optimal controller based on the Harris Hawks optimization algorithm (HHOA) for airplane pitch angle control is studied. The Carlson, Oustaloup and Matsuda methods are used separately to approximate the fractional integral order of the fractionalized PID controller. This technique consists in introducing fractional-order integrators into the classical feedback control loop without modifying the overall equivalent closed loop transfer function. To validate the effectiveness of the suggested approach, performance indices, as well as transient and frequency responses, were used. The comparative study was performed, and the results show that the proposed reduced fractionalized PID based on HHO algorithm with Carlson controller is better in terms of percentage overshoot, settling time and rise time than other controllers.

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Abdelhakim idir , Yassine Bensafia, Laurent Canale, , (2024-01-23), Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system., Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol:46, Issue:2, pages:16, SPRINGER

In this paper, a new method for the reduction of steady-state torque error and compensation of harmonic current components is presented for the direct torque control (DTC) of the dual star induction motor (DSIM). The main problem encountered in classical direct torque control (DTC-THR) of multiphase machines is harmonic current distortion, often due to lack of control in (x-y) subspace. Therefore, this paper presents MDTC-THR based on a two-step process that allows the selection of an appropriate voltage vector to control the stator flux in the (x-y) subspace. This significantly reduces harmonic currents and generates a purely sinusoidal phase current form. The classical three-level torque hysteresis regulator (THR) causes a large steady-state torque error due to zero voltage vectors. An MDTC-THRM based on a modification of the torque regulator, which can effectively reduce the steady-state torque error. Simulation results validate the effectiveness of MDTCTHR and MDTC-THRM.

Citation

Abdelhakim idir , ,(2023-12-05), Improvement of Steady-State Performance of Direct Torque Control for Dual Star Induction Motor Drives,The 2nd Electrical Engineering International Conference (EEIC’23), December 05-06, 2023,Béjaia

In this paper, the effect of approximation approaches on a novel low-order fractionalized proportional–integral–derivative (LOA/FPID) optimal controller based on the Harris Hawks optimization algorithm (HHOA) for airplane pitch angle control is studied. The Carlson, Oustaloup and Matsuda methods are used separately to approximate the fractional integral order of the fractionalized PID controller. This technique consists in introducing fractional-order integrators into the classical feedback control loop without modifying the overall equivalent closed loop transfer function. To validate the effectiveness of the suggested approach, performance indices, as well as transient and frequency responses, were used. The comparative study was performed, and the results show that the proposed reduced fractionalized PID based on HHO algorithm with Carlson controller is better in terms of percentage overshoot, settling time and rise time than other controllers.

Citation

Abdelhakim idir , , (2023-12-05), Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol:46, Issue:2, pages:1-16, Springer Berlin Heidelberg

Most industrial applications use integer-order proportional integral derivative (IOPID) controllers due to well-known characteristics such as simplicity and ease of implementation. However, because of their nonlinear nature and the underlying iso-damping feature of fractional-order operators, fractional-order PID (FOPID) and fractionalized-order PID (FrOPID) controllers outperform the IOPID controllers. In this study, three different controllers based on particle swarm optimization are used to regulate a stable system. While a FrOPID controller only has to optimize four parameters and a normal PID controller only needs to optimize three parameters, a FOPID controller requires the optimization of five parameters. Set-point tracking, and better disturbance rejection are obtained with the fractional PID controller, whereas fractionalized PID outperforms the other controllers in terms of noise attenuation.

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Abdelhakim idir , , (2023-12-01), A Comparative Study between Fractionalized and Fractional Order PID Controllers for Control of a Stable System Based on Particle Swarm Optimization Algorithm, Przeglad Elektrotechniczny, Vol:12, Issue:12, pages:87-90, Polish scientific journals

This research aims to investigate the interaction analysis and decoupling of axial-torsional vibrations in rotary drilling systems. The primary focus lies in proposing effective compensators for the decoupling process, allowing the extension of the proposed methodology from single-input single-output (SISO) systems to multi-input multi-output (MIMO) systems. Specifically, the objective is to address the strongly interactive terms between the inputs and outputs of the rotary drilling systems. By achieving this, the interconnected multi-loop components can be treated as a series of SISO subsystems, reflecting the comprehensive dynamics of the original system. The study carefully examines two distinct multivariable systems: a theoretical two-input twooutput (TITO) system and an actual rotary drilling system. The results demonstrate the efficiency of the proposed approach, emphasizing its superiority over conventional methods. Notably, the proposed methodology effectively reduces dynamic error, settling time, and rise time, highlighting its potential for enhancing the overall performance and robustness of rotary drilling systems.

Citation

Abdelhakim idir , ,(2023-11-28), Interaction Analysis and Decoupling of AxialTorsional Vibrations in Rotary Drilling Systems,International Conference on Advanced Engineering in Process Intelligence (ICAEPI-2023).,Skikda

Rotary drilling systems experience strong coupling between axial and torsional vibrations, which has a complex impact on drilling performance. Many researchers have studied each type of vibration separately, but the robustness of the developed controllers depends on the coupling effects of the other ignored vibrations. To ensure the robustness of such controllers, it is necessary to analyze the interaction effect of the control systems, especially the axialtorsional effects. PID controllers have been successfully used to solve many engineering problems with high coupling interactions. This paper investigates the interaction between axial and torsional vibrations based on finite element model and proposes a PID controller for the coupled system based on the interaction analysis results. The main contribution of this study is to improve the controller robustness in mitigating the coupled vibrations and the use of finite element model to analyze the coupling interactions. The results demonstrate the improvement provided by this research work.

Citation

Abdelhakim idir , ,(2023-11-06), Finite Element Modeling, Interraction Analysis and Control of Coupled Axial-Torsional Vibrations in Rotary Drilling Systems,1st National Conference on Electronics, Electrical Engineering, Telecommunications, and Computer Vision (C3ETCV’23),Boumerdes

In this paper, a new optimal reduced order fractionalized PID (ROFPID) controller based on the Harris Hawks Optimization Algorithm (HHOA) is proposed for aircraft pitch angle control. Statistical tests, analysis of the index of performance, and disturbance rejection, as well as transient and frequency responses, were all used to validate the effectiveness of the proposed approach. The performance of the proposed HHOA-ROFPID and HHOA-ROFPID controllers with Oustaloup and Matsuda approximations was then compared not only to the PID controller tuned by the original HHO algorithm but also to other controllers tuned by cutting-edge meta-heuristic algorithms such as the atom search optimization algorithm (ASOA), Salp Swarm Algorithm (SSA), sine-cosine algorithm (SCA), and Grey wolf optimization algorithm (GOA). Simulation results show that the proposed controller with the Matsuda approximation provides better andmore robust performance compared to the proposed controller with the Oustaloup approximation and other existing controllers in terms of percentage overshoot, settling time, rise time, and disturbance rejection.

Citation

Khatir KHETTAB , Abdelhakim idir , , (2023-07-01), Performance improvement of aircraft pitch angle control using a new reduced order fractionalized PID controller, asian journal of control, Vol:25, Issue:4, pages:2588-2603, Wiley

Due to their well-known qualities, including simplicity and ease of use, integer order proportional integral derivative (IOPID) controllers are used in the majority of industrial applications. However, fractional order PID (FOPID) and fractionalized order PID (FrOPID) controllers outperform IOPID controllers because of their nonlinear character and the underlying ISO-damping feature of fractional-order operators. In this study, a stable system is controlled by three distinct controllers based on intelligent optimization techniques. A FOPID controller needs the optimization of five parameters, whereas a FrOPID controller only calls for the optimization of four parameters, and a typical PID controller only calls for the optimization of three parameters. The findings show that implementing soft computing-based PID controllers with fractional or fractionalized time domain requirements improves process performance.

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Abdelhakim idir , ,(2023-06-06), A Comparative Study of Integer Order PID, Fractionalized Order PID and Fractional order PID Controllers on a Class of Stable System,23rd EEEIC International Conference on Environment and Electrical Engineering & 7th I&CPS Industrial and Commercial Power Systems Europe, Madrid, Spain. IEEE.,Spain

Modeling dynamic vibrations during drilling is one of the main challenges facing drillers. Before developing controllers to eliminate or at least minimize this phenomenon, it is necessary to study how the drill bit handles these vibrations. In the literature, many models have been designed to represent the behavior of the drill string under the effect of axial-torsional vibrations. Therefore, to ensure good robustness of these controllers, it is necessary to analyze the interaction effect of the control systems, specifically the axialtorsional effects. The main objective of this paper is to model our system and study the interaction between axial and torsional vibrations to improve the robustness of the controller by attenuating the coupled vibrations

Citation

Abdelhakim idir , ,(2023-05-23), Modeling and interaction analysis of Axial-torsional vibrations in the drillstring system,Fourth International Conference on Technological Advances in Electrical Engineering (ICTAEE’23.),Skikda

Fractional calculus has been rediscovered by scientists and engineers in the last two decades, and applied in an increasing number of fields, namely control theory. The current research work presents the use of the fractional adaptive PID controller approach optimized by a genetic algorithm to improve the performances (rise time, setting time, overshoot, and mean absolute error) for aircraft by introducing a fractional order integrator and differentiator in the classical feedback adaptive PID controller. To validate the arguments, the effectiveness and performance analysis of the proposed fractional order adaptive PID controller optimized by a genetic algorithm have been studied in comparison to the classical adaptive PID controller. Numerical simulation and analysis are presented to verify the best controller. The fractional order adaptive PID gives the best results in terms of settling time, rise time, overshoot, and mean absolute error. This approach can also be generalized to other fractional and integer systems in order to improve their performances and noise rejection.

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Khatir KHETTAB , Abdelhakim idir , ABDERRAHIM Zemmit , , (2023-05-15), Performance Improvement of Aircraft pitch angle using the Fractional Order Adaptive PID Controller, PRZEGLĄD ELEKTROTECHNICZNY, Vol:2023, Issue:5, pages:98-101, Portal informacji technicznej

This paper proposes a new hybrid maximum power point tracking (MPPT) control strategy for grid-connected solar systems based on Incremental conductance—Particle Swarm Optimization and Model Predictive Controller (IncCond-PSO-MPC). The purpose of the suggested method is to create as much power as feasible from a PV system during environmental changes, then transfer it to the power grid. To accomplish this, a hybrid combination of incremental conductance (IncCond) and particle swarm optimization (PSO) is proposed to locate maximum power, followed by model predictive control (MPC) to track maximum power and control the boost converter to achieve high performance regardless of parameter variations. A two-level inverter, likewise, controlled by Model Predictive Control, is employed to inject the PV power generated. In this application, the MPC is based on minimizing the difference between the reference and prediction powers, which is computed to select the switching state of the inverter. The proposed system is simulated and evaluated in a variety of dynamic conditions using Matlab/Simulink. Results reveal that the proposed control mechanism is effective at tracking the maximum power point (MPP) with fewer power oscillations.

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Abdelhakim idir , , (2023-05-02), Improved MPPT Control Strategy for PV Connected to Grid Using IncCond-PSO-MPC Approach, CSEE Journal of Power and Energy Systems, Vol:9, Issue:3, pages:1008 - 1020, CSEE

Ce document est un support pédagogique du cours destiné aux étudiants de Master première année assurés au département de Génie électrique (Faculté de Technologie) pour les quatre spécialités: Commande électrique, Energie renouvelable, Réseaux électriques et Robotiques. Dans ce polycopié de cours on s’intéresse, en première partie a un certain nombre de méthodes itératives utilisées pour la résolution des systèmes d’équations linéaires, des équations non linéaires, la résolution numérique des équations différentielle et les formules de quadrature, Trapèze et Simpson pour l’intégration numérique. Ensuite la résolution des équations aux dérivées partielles en utilisant la méthode des différences finies (MDF) et la méthode des éléments finis (MDF). En deuxième partie, on s’intéresse aux techniques d’optimisation ; dont l'optimisation de point de vue athématique consiste à rechercher le minimum ou le maximum d'une fonction avec ou sans contraintes, cependant on limite souvent l'optimisation à une recherche de minimum. Plusieurs méthodes seront étudiées comme la méthode de gradient optimal, gradient conjugué, méthode de Newton…etc. Le tous est regroupé sous le terme générique de ’’Méthodes Numériques appliquées et optimisation’’. Il rassemble une série de cours, d’exemples et d’exercices ayant pour but de permettre à l’étudiant de mieux comprendre les notions du module "Méthodes numériques appliquées et optimisation". A la fin de ce cours, l’étudient obtient des connaissances solides sur différentes méthodes numériques et technique d’optimisation que par la suite sera capable de les implémenter en langage de programmation tel que Matlab ou Scilab.

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Abdelhakimidir , ,(2023-03-15); Méthodes numériques appliquées et Optimisation- Cours et Exercices,Université de M'sila,

The purpose of this study is to make a high fractional PID (FPID) controller for managing the speed of a direct current (DC) motor using Grey Wolf Optimization (GWO). The GWO/FPID controller approximation, characterized by a lengthy memory (or high order approximation (HOA)), by an integer order transfer function, necessitates the employment of a large number of parameters. This new controller, named the HOA-GWO/FPID is used to regulate the DC motor system. With regard to percentage overshoot, settling time, rising time, and disturbance rejection, it demonstrates remarkable robustness and superior control performance. The effectiveness of the proposed controller was examined using transient and frequency responses.

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Abdelhakim idir , ,(2022), High Order Approximation of Fractional PID Controller based on Grey Wolf Optimization for DC Motor,In 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe),Prague

The power-voltage characteristic of photovoltaic (PV) systems operating under partial shading conditions (PSCs) exhibits multiple local maximum power points (MPPs). Conventional maximum power point tracking (MPPT) methods are effective under uniform solar irradiance conditions. Moreover, the power of PV systems may be decreased by the random fluctuation, oscillation, and slow speed of their power tracking. To overcome these problems, a new combined method based on the metaheuristic Grasshopper Optimization Algorithm (GOA) and Model Predictive Controller (MPC) is proposed. A series of experimental simulations were carried out on various cases to evaluate the performance of the proposed method and to better clarify our contribution, a comparative study with the traditional perturb and observe (P&O) method, PSO-based MPC (PSO-MPC), particle swarm optimization (PSO) method, and grasshopper optimization algorithm (GOA) was carried out. The results show that the proposed method significantly outperforms the competing methods such as PSO, PSO-MPC, and GOA regarding tracking time, power conversion efficiency, and oscillations in PV output power.

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Abdelhakim idir , , (2022), A NEW COMBINED METHOD FOR TRACKING THE GLOBAL MAXIMUM POWER POINT OF PHOTOVOLTAIC SYSTEMS, Revue roumaine des sciences techniques—série électrotechnique et énergétique,, Vol:67, Issue:3, pages:349-354, Romanian Academy, Publishing House of the Romanian Academy

This paper is devoted to presenting a new mathematical development and hardware implementation of an accurate and stable technique for the current estimation-based sliding mode observer in high-performance speed-sensorless ac-drive. The proposed algorithm is built by using induction motor (IM) flux equations in two referential frames to enhance the robustness of the observer. Indeed, all equations are given in both stator-flux and rotor-flux rotating frames. On the other hand, to eliminate the necessity of rotor-speed adaptation, a fully speed-sensorless scheme is adopted. Furthermore, to minimize chattering and improve accuracy, a new fuzzy sliding surface is introduced instead of the conventional correction vector. The observer stability is guaranteed by means of Lyapunov’s second method. The feasibility and the effectiveness of the proposed algorithm are verified by using a hardware setup based on the DS1104 controller board. Experimental results are shown and discussed.

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Abdelhakim idir , , (2022), STABILITY AND ACCURACY IMPROVEMENT IN LOW-SPEED CURRENT ESTIMATOR BASED ON SLIDING MODE TAKAGI-SUGENO ALGORITHMS, Revue roumaine des sciences techniques—série électrotechnique et énergétique,, Vol:67, Issue:2, pages:99–104,, Romanian Academy, Publishing House of the Romanian Academy

Over the few last years the idea of introducing fractional calculus and systems in adaptive control has found a great interest, for the benefit one can win in the performances given by such systems. in this paper, a Fractional Model Reference Adaptive Control solution is proposed for reduce the delay time and the overshoot existing in classical control approach .

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Abdelhakim idir , ,(2022), Tracking Trajectory of the SCARA Robot in adaptive Control using the Fractional Model Reference,Conférence Nationale Sur le Contrôle et la Sécurité des Systèmes Industriels 05-06 Octobre 2022 Skikda- Algérie,skikda

Abstract: In the last two decades, fractional calculus has been rediscovered by scientists and engineers and applied in an increasing number of fields, namely in the area of control theory. Recently, many research works have focused on fractional order control (FOC) and fractional systems. It has proven to be a good mean for improving the plant dynamics with respect to response time and disturbance rejection. In This work we use the Sub-optimal Approximation of fractional order transfer function to design the parameters of PID controller and we study the performance analysis of fractionalized PID controller over integer order PID controller. Keywords: Fractional Control, Approximation Methods, Oustaloup Method, PID Controller

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Khatir KHETTAB , Abdelhakim idir , , (2022), A Novel Fractionalized PID controller Using The Sub-optimal Approximation of FOTF, Algerian Journal Of Signals And Systems (AJSS), Vol:7, Issue:1, pages:21-26, ASJP - Laboratory of Signals and Systems

In this paper, a low-order approximation (LOA) of fractional order PID (FOPID) for an automatic voltage regulator (AVR) based on the modified artificial bee colony (ABC) is proposed. The improved artificial bee colony (IABC) high-order approximation (HOA)-based fractional order PID (IABC/HOA-FOPID) controller, which is distinguished by a significant order approximation and by an integer order transfer function, requires the use of a large number of parameters. To improve the AVR system’s performance in terms of transient and frequency response analysis, the memory capacity of the IABC/HOA-FOPID controller was lowered so that it could fit better in the corrective loop. The new robust controller is named the improved artificial bee colony (IABC) loworder approximation (LOA)-based fractional order PID (IABC/LOA-FOPID). The performance of the proposed IABC/LOA-FOPID controller was compared not only to the original ABC algorithm-tuned PID controller, but also to other controllers tuned by state-of-the-art meta-heuristic algorithms such as the improved whale optimization algorithm (IWOA), particle swarm optimization (PSO), cuckoo search (CS), many optimizing liaisons (MOL), genetic algorithm (GA), local unimodal sampling (LUS), and the tree seed algorithm (TSA). Step response, root locus, frequency response, robustness test, and disturbance rejection abilities are all compared. The simulation results and comparisons with the proposed IABC/LOA-FOPID controller and other existing controllers clearly show that the proposed IABC/LOA-FOPID controller outperforms the optimal PID controllers found by other algorithms in all the aforementioned performance tests.

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Khatir KHETTAB , Abdelhakim idir , , (2022), Design and Robust Performance Analysis of Low-Order Approximation of Fractional PID Controller Based on an IABC Algorithm for an Automatic Voltage Regulator System, energies, Vol:15, Issue:23, pages:1-20, MDPI

Recent advances in fractional order calculus led to the improvement of control theory and resulted in the potential use of a fractional adaptive proportional integral derivative (FAPID) controller in advanced academic and industrial applications as compared to the conventional adaptive PID (APID) controller. Basically, a fractional order adaptive PID controller is an improved version of a classical integer order adaptive PID controller that outperformed its classical counterpart. In the case of a closed loop system, a minor change would result in overall system instability. An efficient PID controller can be used to control the response of such a system. Among various parameters of an instable system, the speed of the system is an important parameter to be controlled efficiently. The current research work presents the speed control mechanism for an uncertain, instable system by using a fractional-order adaptive PID controller. To validate the arguments, the effectiveness and robustness of the proposed fractional order adaptive PID controller have been studied in comparison to the classical adaptive PID controller using the criterion of quadratic error. Simulation findings and comparisons demonstrated that the proposed controller has superior control performance and outstanding robustness in terms of percentage overshoot, settling time, rising time, and disturbance rejection.

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Khatir KHETTAB , Abdelhakim idir , , (2022), Novel Robust Control Using a Fractional Adaptive PID Regulator for an Unstable System, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), Vol:10, Issue:4, pages:849-857, Institute of Advanced Engineering and Science (IAES) Indonesia Section

The purpose of this paper is to present a performance comparison between two maximum power point tracking algorithms These two algorithms are Neuronal Network-PID and the second algorithm is Neuronal Network Predictive Model Controller applied to in order to improve the dynamic performance of the control structure of boost converters used in renewable energy systems. Several tests under stable and variable environmental conditions are made for the two algorithms, and results show a better performance of the compared to the and algorithms in terms of response time, efficiency and steady-state oscillations.

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Abdelhakim idir , Khatir KHETTAB , ,(2020), a comparative study of MPPT controllers for PV systems : NN-PID and NN-MPC approaches,1er conference nationale sur la transition energétique en Algérie,M'sila

The aim of this paper is to present an evaluation of the performancerate of four different photovoltaic techniques in the Saharan environment. The purpose of this study is to investigate, analyse, discuss and illustrate the most effective of the different photovoltaic cell technologies (monocrystalline , amorphous silicon , poly-crystalline silicon and cadmium telluridethin film ) installed in Ghardaia which is located in southern of Algeria’s Sahara desert. In order to choose the most suitable technology in the Saharan climate conditions, the energy values produced by the plant were compared to those found by the PVSYST sizing software. The results show that thin-film and amorphous silicon panels produce low illumination, so they are the best choice for the Saharan environment.

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Abdelhakim idir , , (2020), Comparative performance evaluation of four photovoltaic technologies in saharan climates of Algeria: ghardaïa pilot station, Indonesian Journal of Electrical Engineering and Computer Science, Vol:18, Issue:2, pages:586 - 598, UAD Insitute of Scientific Publication and Press (LPPI), 9th Floor, 4th Campus of Universitas Ahmad Dahlan, Tamanan, Banguntapan, Bantul, Yogyakarta 55191, Indonesia

In this paper, new hybrid maximum power point tracking (MPPT) strategy for Photovoltaic Systems has been proposed. The proposed technique for MPPT control based on a novel combination of an artificial neural network (ANN) with an improved model predictive control using kalman filter (NN-MPC-KF). In this paper the Kalman filter is used to estimate the converter state vector for minimized the cost function then predict the future value to track the maximum power point (MPP) with fast changing weather parameters. The proposed control technique can track the MPP in fast changing irradiance conditions and a small overshoot. Finally, the system is simulated in the MATLAB/Simulink environment. Several tests under stable and variable environmental conditions are made for the four algorithms, and results show a better performance of the proposed MPPT compared to conventional Perturb and Observation (P&O), neural network based proprtional integral control (NN-PI) and Neural Network based model predictive control (NN-MPC) in terms of response time, efficiency and steady-state oscillations.

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Abdelhakim idir , , (2020), New improved hybrid MPPT based on neural network-model predictive control-Kalman filter for photovoltaic system, Indonesian Journal of Electrical Engineering and Computer Science, Vol:20, Issue:3, pages:1230~1241, Institute of Advanced Engineering and Science.

Real-time simulation (RT) is very useful for rapid prototyping of complex and expensive systems using the high performance of a multiprocessor system. It has many applications in the field of testing controllers and protection systems under real conditions. In this article, Real-time simulations results of sensorless control of permanent magnet synchronous motor (PMSM) are presented. This simulator consists of two major subsystems, software with a Matlab / Simulink and hardware including FPGA boards for data acquisition, control boards and sensors. The two subsystems were coordinated together to achieve the simulation RT. To estimate the rotor position, a sliding mode observer (SMO) based on back emfs of the motor was implemented. The stability of the proposed method was verified using the concept of Lyapunov. A real-time system based on FPGA, is used for implementing and testing the algorithm for rotor position estimation based on back-emf tracking.

Citation

Abdelhakim idir , Khatir KHETTAB , Ahriche Aimed, Yacine Bensafia, M. Kidouche, , (2019), Real Time Simulation of Sensorless Control based on back-EMF of PMSM on RT-Lab/ARTEMIS Real-Time Digital Simulator, International Journal of Advances in Applied Sciences (IJAAS), Vol:8, Issue:4, pages:269-278, iaescore

Mostly industries are dealing with stable /unstable systems and controlling unstable systems is difficult than stable systems. A controller is required to overcome the instability of the plant, but if the controller is not tuned properly it affects the performance of the system and such situation leads to accident and best example of such system is nuclear power plant. In this paper some typical intelligent optimization methods such as Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) has been implemented to design Fractional Order PID (FOPID) controller for stable and unstable systems in which the unknown parameters are determined by minimizing a given integral of time weighted absolute error (ITAE). The key challenge of designing FOPID controller is to determine the optimal controller parameters like K_p, K_i, K_d and two additional parameters integer and derivative key parameters λ and μ apart from the usual tuning parameters of PID. Both λ and μ are in fraction which increases the robustness of the system and gives an optimal control. Experimental results obtained from the proposed FOPID-PSO controller tuning approach are much better than FOPID-GA controllers.

Citation

Abdelhakim idir , Khatir KHETTAB , Yassine Bensafia, Madjid Kidouche, Aimad Ahriche, ,(2019), Robustness Analysis of Fractional Order PID Controller for Stable and Unstable Systems Using Evolutionary Algorithms,8th International Symposium on Hydrocarbons and Chemistry “ISHC8” Boumerdes,Boumerdes, Algérie

In this paper, a discrete fractional adaptive controller (DFALC) strategy for a class of nonlinear chaotic fractional-order systems, identification and control of discrete-time systems are presented. The main contribution in this work is the study is the introduction of a fuzzy logic in the adaptive control scheme for nonlinear discrete fractional systems. The discrete fractional-order chaotic systems are identified using fuzzy logic sets. Based on Lyapunov stability theorem, the stability analysis of the proposed control strategy is performed for an acceptable synchronization error level. The performance of discrete-time fractional-order controllers with nonlinear systems is also investigated. Numerical simulations illustrate the deficiency of the proposed discrete fractional fuzzy adaptive control scheme through the synchronization of two dierent fractional order chaotic Duffing systems. Keywords : Fractional systems, Fractional adaptive type-2 fuzzy control , Discrete-time Fractional systems, Fractional Lyapunov stability.

Citation

Khatir KHETTAB , Abdelhakim idir , Bensafia Yassine, ,(2019), Stabilization and Synchronization of discrete-time Fractional-Order Chaotic Systems Based on Adaptive type-2 Fuzzy Controller,International Conference on Computational Methods in Applied Sciences (IC2MAS19),Istanbul-Turkey

The different steps of the design of this controller are presented together with its simulation and the feasibility of control methods to be adopted for the operation of a Micro-Grid when it becomes isolated. A grid connected PV system consist of solar panels, batteries with back up in case of emergencies, DC-DC converters, Maximum power point tracker (MPPT) and Demand power management . This paper proposes an approach of coordinated and integrated management of solar PV generators with the most power point following (MPPT) management and battery storage management to produce voltage and frequency (V-f) support to an islanded small grid. Also, active and nonnative/reactive power (P-Q) management with star PV, MPPT and battery storage is projected for the grid connected mode. The simulation studies are carried out with the IEEE 13-bus feeder check system in grid connected and islanded Micro-Grid modes. The MPPT of a Photovoltaic System for Micro-Grid operation is successfully designed and simulated by using MATLAB/Simulink Software in this paper.

Citation

Abdelhakim idir , Khatir KHETTAB , Sid Ahmed Tadjer, Yassine Bensafia, ,(2019), Modelling and Control of MPPT based Solar PV System and Battery Storage in Microgrids,Deuxième CONFERENCE INTERNATIONALE SUR LES ENERGIES FOSSILES, NOUVELLES ET RENOUVELABLES (SIER 2019),Boumerdes