ABDELHAKIM Idir

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

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.

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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.

Citation

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.

Citation

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.

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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.

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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.

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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.

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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