ABDERRAHIM Zemmit

BENNAADJA Oussama

Analysis of solar resources in the wilaya of Msila For the production of green hydrogen

Yacine BENCHENINA

Improvement of Performance in Energy Systems from Renewable Sources Based on Green Hydrogen

DJAIDJA Nazih , CHEBLI Saber Ayoub

Optimizing Green Hydrogen Production Using MPPT Algorithms in a PV System

BENAOUIRA Haider , SENOUCI Khawla

Modélisation et commande d’un système photovoltaïque (étude comparative P&O et PID)

Bounif assia , benameur saber

Study and sizing tamsa 220MW power plant integrated in the network with protection coordination overcurrent relay

Abderrezak KERMICH

Etude et conception d'un systeme de protection contre la foudre pour l'aeroport d'alger

HAMANI Sami , NOUIOUA Assil

Optimisation de Contrôle DTC du Moteur à Induction Double Stator (MSDS) par l'Algorithme de Baleine WOA

BAHACHE Nour

Amélioration des performances d’un système photovoltaïque par la technique d’optimisation Gray Wolf

BELFAR Mosaab

Modélisation d'un system PV

DEHIRI Abderrahim , MEDJDOUB M'Hamed

Contribution à l'étude d'un isolateur composite et l'amélioration de profil du champ électrique à base des matériaux semi-conducteur(ZnO)

ZERROUAK Ossama radjeb , BACHIRI Chaima

Contrôle Direct du Couple du Moteur à Induction Double Stator (MSDS) utilisant la technique d’optimisation Gray Wolf

AMMARI Nesrin , Bougerra donia

Modélisation d’entraînement électromécaniques multi-masses à base de MCC

BENTORCHA, Issam; , TAYABI, Riadh

http://dspace.univ-msila.dz:8080/xmlui/handle/123456789/25680

NAILI, Mostafa , BOUKHALFA Naaman

Contribution à l’étude et à l’optimisation d’un isolateur de ligne 400 kV par la présence de deux anneaux de garde

DOUCEN mohamed

Modélisation et simulation de la MSDE

Aouina abdallah , Naili Mostafa, Bensaàdia Abdouwahab

Modélisation et simulation de la Machine Asynchrone a Double Alimentation MADA

بوعافية سفيان , ذبيحي وليد, جلول بن التهامي

Modélisation d’entraînement électromécaniques multi-masses à base de machine à courant continu (MCC)

Tariq BRAKHLIA , Abderraouf LAIZI

Commandes en Tension d’un Moteur Asynchrone à Double Alimentation (MADA)

Theldja MERZOUGUI , Khedidja ABDELKEBIR

Commande d’une génératrice synchrone à aimant permanant (GSAP)

This research enhances the dynamic performance and robustness of Permanent Magnet Synchronous Motors (PMSMs) by developing an adaptive fuzzy-PI hybrid control strategy. While PMSMs offer superior power density and durability over DC motors, their control is challenged by parameter variations and external disturbances. This study compares traditional Proportional-Integral (PI) control, standard fuzzy logic, and a proposed adaptive fuzzy controller. Numerical simulations in MATLAB/Simulink demonstrate that the adaptive fuzzy controller significantly improves transient response by minimizing speed overshoot and effectively rejecting disturbances. Upon application of a 6 N.m load torque, the controller rapidly restores the motor speed to its reference value with minimal deviation. Furthermore, it substantially reduces current and torque peaks during transients, thereby decreasing stress on the motor and drive system. The results confirm that the adaptive fuzzy-PI control optimizes dynamic responsiveness, ensures stability, and enhances overall control efficiency for PMSMs in demanding industrial environments.

Citation

ABDERRAHIM Zemmit , ,(2025-12-11), Adaptive Fuzzy-PI Hybrid Control of Permanent Magnet Synchronous Motors,The 2nd International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE2025),University of M’Sila, Algeria

The widespread adoption of solar photovoltaic (PV) modules for clean energy generation faces challenges, particularly from partial shading which can significantly impact efficiency. This paper proposes a novel 5x5 physical reconfiguration for PV arrays inspired by the Renzoku puzzle pattern. This structured approach aims to enhance power generation in distributed PV systems across diverse applications. Through a comparative study with the conventional Total Cross-Tied (TCT) configuration under partial shading conditions, the research explores scenarios involving two and three solar irradiation types. Results indicate a notable power enhancement of 12.05% and 14.30% in the two-case and three-case scenarios, respectively, compared to TCT. Moreover, rearranged shaded PV modules show consistent 14.30% power enhancement. This study underscores the efficacy of the proposed configuration in optimizing power generation and management across diverse shading conditions. It offers a smoother power-voltage curve and enables comprehensive analysis of PV array performance characteristics. By addressing the challenges of partial shading, this novel configuration contributes to advancing solar energy technologies, promising heightened efficiency and sustainability in clean energy generation.

Citation

ABDERRAHIM Zemmit , ,(2025-12-10), Innovative Physical Reconfiguration of PV Arrays for Enhanced Power Output under Partial Shading Conditions,The 2nd International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE2025),University of M’Sila, Algeria

A study offers an analysis of the photovoltaic power plant for Tamsa 220 MW located on Msila region in Algeria , it is covering the basic technologies of photovoltaic energy such the protection and coordination with overcurrent relays (51) in electrical systems networks at different level of voltages (0.315/30/60 kV), also a various technical specifications and cases studies. ETAP software is used to study, design, sizing and protection this power plant which is integrated on the grid with 60 kV.

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ABDERRAHIM Zemmit , ,(2025-12-10), Comprehensive Design and Analysis of Overcurrent Relay Protection and Coordination for a 220 MW Grid-Connected Power Plant,The 2nd International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE2025),University of M’Sila, Algeria

Comprehensive Design and Analysis of Overcurrent Relay Protection and Coordination for a 220 MW Grid-Connected Power Plant

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mourad naidji , Salim Djeriou , ABDERRAHIM Zemmit , ISMAIL Ghadbane , RIYADH Rouabhi , assia.bounif@univ-msila.dz, ,(2025-12-10), Comprehensive Design and Analysis of Overcurrent Relay Protection and Coordination for a 220 MW Grid-Connected Power Plant,IEEE 2nd International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE),M'Sila, Algeria

This paper presents a new cascade control based on type 2 fuzzy logic applied to direct current motors to regulate the mechanical power produced. The study aims to eliminate significant drawbacks of cascade control based on PI controllers to ensure robustness and stability, achieving precise and continuous control. A comparison between our cascade control structure based on type 2 fuzzy controllers and other cascade control structures based on PI controllers or type 1 fuzzy controllers is also the focus. The results in the Matlab/Simulink environment demonstrated the effectiveness and best performance of the cascade control based on type 2 fuzzy controllers.

Citation

RIYADH Rouabhi , ABDERRAHIM Zemmit , ABDELGHAFOUR Herizi , Salim Djeriou , , (2025-09-12), New Cascade Control Based on Type 2 Fuzzy Controllers Applied to a DC Motor, IET Science, Measurement &Technology, Vol:19, Issue:1, pages:1-11, Wiley

This paper presents a novel nonlinear control approach for a doubly fed induction generator (DFIG) by integrating sliding mode control, backstepping control, and fuzzy logic. The proposed hybrid strategy modifies the sliding mode controller by retaining the equivalent control while replacing the attractive control with backstepping. Type-1 fuzzy logic is then used to optimize the stabilization gains of the backstepping controller, enhancing system stability and resilience. The effectiveness of the proposed control is evaluated through MATLAB/Simulink simulations. Results from the tracking test show accurate reference trajectory tracking without exceeding active and reactive power limits or exhibiting steady-state errors. In the regulation test, the system demonstrated sensitivity to sudden speed changes but maintained stable active and reactive power.

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RIYADH Rouabhi , ABDELGHAFOUR Herizi , FAYSSAL Ouagueni , ABDERRAHIM Zemmit , , (2025-08-30), Robust Wind Power Control Using Sliding Mode, Backstepping, and Fuzzy Logic, Revue Roumaine des Sciences Techniques, Série Électrotechnique et Énergétique, Vol:70, Issue:3, pages:313–318, Revue Roumaine des Sciences Techniques

Optimizing the control of Permanent Magnet Synchronous Motors (PMSMs) is essential for advancing performance across a broad spectrum of modern applications, including electric vehicles (EVs), industrial automation, and renewable energy systems (RESs). Nevertheless, conventional control strategies often fall short when faced with the inherent nonlinearity and dynamic behavior of PMSMs, resulting in diminished system performance and responsiveness. To overcome these limitations, this study introduces a novel hybrid adaptive nonlinear control approach incorporating a deadbeat observer (DO). The proposed framework is specifically designed to enhance both the precision and robustness of PMSM operation by actively compensating for parameter uncertainties and external disturbances. Comprehensive simulation analyses are conducted to benchmark the performance of the proposed control scheme against a baseline Adaptive Nonlinear Control (ANLC) method. The results demonstrate significant improvements: the hybrid strategy limits the maximum relative speed error to approximately 6% under gradually varying load torque disturbances at 0.4 s-surpassing the ANLC's 8% error under identical conditions. Furthermore, the control system sustains a low maximum speed error of just 0.82% during large speed variations occurring at 0.85 s. Robustness evaluations under parameter mismatches-including stator resistance and inductance deviations-further confirm the enhanced resilience of the proposed method. These findings underscore the method's ability to deliver high-precision control while dynamically adapting to variable operating environments. The proposed control strategy thus offers a promising pathway for improving the efficiency, reliability, and adaptability of PMSM-driven systems, with strong implications for the future of EV propulsion, smart industrial systems, and sustainable energy technologies.

Citation

ABDERRAHIM Zemmit , ,(2025-05-06), Enhanced Adaptive Nonlinear Control With Deadbeat State Observer for Permanent Magnet Synchronous Motor Drive System,The First National Conference on Renewable Energies and Advanced Electrical Engineering NC-REAEE’25,University of M’Sila, Algeria

Direct Torque Control (DTC) of a Dual Stator Induction Motor (DSIM), supplied by a Direct Power Control (DPC) rectifier, is proposed. A Fuzzy Sliding Mode Controller (FSMC) is designed for speed regulation. The DPC ensures sinusoidal grid currents and constant DC-link voltage. The DTC provides fast torque and flux dynamics for the DSIM. The FSMC combines the robustness of sliding mode control with the smoothness of fuzzy logic to mitigate chattering and enhance performance under load disturbances and parameter variations. Simulation results demonstrate the effectiveness of the complete system in improving power quality and drive robustness.

Citation

ABDERRAHIM Zemmit , ,(2025-05-06), Direct Torque Control of Dual Stator Induction Motor fed by Direct Power Control Rectifier using Fuzzy Sliding mode Speed Controller,The First National Conference on Renewable Energies and Advanced Electrical Engineering NC-REAEE’25,University of M’Sila, Algeria

This work focuses on improving the dynamic performance of Permanent Magnet Synchronous Machines (PMSM) through advanced control strategies. PMSMs are increasingly used in industry due to their advantages, such as low rotor inertia, efficient heat dissipation, and high torque density. Unlike traditional DC motors, PMSMs require an inverter synchronized with the rotor position for proper operation. While DC motors are easier to control, PMSMs offer better robustness and power-to-weight ratio, making them suitable for modern industrial applications. To address this, the study investigates different control strategies for PMSM speed regulation. Numerical simulations are conducted to evaluate the performance of various controllers, including classic PI controllers, fuzzy logic controllers, and adaptive fuzzy controllers. The aim is to enhance dynamic response, ensure stability, and improve overall control performance in industrial applications.

Citation

ABDERRAHIM Zemmit , ,(2025-05-06), An Intelligent Nonlinear Control Approach Based on Fuzzy Logic for Permanent Magnet Synchronous Machine,The First National Conference on Renewable Energies and Advanced Electrical Engineering NC-REAEE’25,University of M’Sila, Algeria

This study proposes an intelligent, algorithm-based adaptive nonlinear control strategy for Permanent Magnet Synchronous Motor (PMSM) drives, integrated with a deadbeat observer. The controller employs a metaheuristic algorithm to adaptively tune its parameters, optimizing performance under dynamic conditions and parameter uncertainties. The deadbeat observer provides rapid and accurate estimation of unmeasured states, such as load torque. This combined approach ensures precise speed tracking, enhanced robustness, and improved disturbance rejection. Simulation results validate the superior dynamic response and stability of the proposed method compared to conventional linear controllers.

Citation

ABDERRAHIM Zemmit , ,(2025-05-06), Intelligent Algorithm-Based Adaptive Nonlinear Control With Deadbeat Observer For Permanent Magnet Synchronous Motor Drives,The First National Conference on Renewable Energies and Advanced Electrical Engineering NC-REAEE’25,University of M’Sila, Algeria

Virtual inertia control (VIC) is essential for power systems dominated by electronic devices to compensate for the lack of inertia and ensure frequency regulation. However, most existing VICs often focus solely on optimizing the virtual inertia parameter to adapt to the high penetration of renewable energy sources (RESs) without considering the damping factor. This oversight can lead to significant fluctuations and power mismatches, especially in interconnected systems where the coordination between MGs is sensitive and essential, and there is a risk of propagation of deviations between MGs, which makes the control more complex. To address these issues, this paper presents a new methodology for designing an advanced VIC for an interconnected system. The proposed controller combines fuzzy logic with virtual inertia and damping control ( FVIDC ) to enhance the frequency response under high variability of RESs. The proposed technique adaptively adjusts the virtual inertia and damping factor based on the frequency deviation, rate of change in frequency, and active power changes of RESs to ensure precise control. The proposed strategy is evaluated using MATLAB simulation software under various scenarios, including load and generation disturbances, as well as the connection and disconnection event. The results demonstrate that FVIDC significantly outperforms other methods, including PID-VIC , FVIC , and PID-VIDC. Results show a 40% reduction in settling time, a 50% decrease in frequency deviation, and a RoCoF of approximately 0.01Hz/s , well below the ISO 8528-5 standard limit of 0.6Hz/s. These findings highlight the effectiveness of FVIDC in improving dynamic frequency response and ensuring stability in renewable energy-dominated systems.

Citation

ABDERRAHIM Zemmit , , (2025-03-21), Fuzzy-Virtual inertia control to improve the frequency response of multi-area power systems, Turkish Journal of Electrical Engineering and Computer Sciences, Vol:33, Issue:2, pages:145-166, The Scientific and Technological Research Council of Türkiye (TÜBİTAK)

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

ABDERRAHIM Zemmit , , (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, SCIENCE, ENGINEERING AND TECHNOLOGY

The nonlinear characteristics and low efficiency of photovoltaic (PV) systems remain critical challenges that necessitate advanced solutions. This study proposes two innovative Maximum Power Point Tracking (MPPT) algorithms based on the Whale Optimization Algorithm (WOA) and Grey Wolf Optimization (GWO). The primary advantage of these methods lies in their adaptive step-size optimization, leveraging multiple criteria to determine the optimal step size. A novel fitness function was developed to improve tracking accuracy, minimize ripple, and reduce overshoot. Simulation results demonstrated remarkable improvements, including up to 98% reduction in ripple, 67% reduction in overshoot, and significant improvements in tracking accuracy compared to fixed-step methods. Field validation was conducted using real-world data from the Ain El Melh PV station in Algeria on June 21, 2023. Experimental results confirmed the effectiveness of the proposed methods, with the WOA-based MPPT achieving up to 99% ripple reduction and 40% overshoot reduction under dynamic environmental conditions. A comparative analysis of MPPT algorithms revealed superior performance metrics for the bio-inspired methods. The PO-WOA algorithm achieved the highest efficiency of 98.87% in simulation and 98.94% in real data, surpassing both PO and PO-GWO. It also minimized power loss to 0.56 W in simulation and 0.39 W in real data, demonstrating its optimization capabilities under fluctuating conditions. Although its response time was slightly longer than other methods, at 0.65 s in simulation and 0.48 s in real data, it prioritized stability and precision. These findings underscore the potential of WOA and GWO algorithms to enhance PV system performance, offering robust and efficient solutions for optimizing energy output in both simulation and real-world scenarios.

Citation

ABDERRAHIM Zemmit , , (2025-03-06), GWO and WOA variable step MPPT algorithms-based PV system output power optimization, Scientific Reports, Vol:15, Issue:1, pages:7810, Nature Publishing Group UK

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

ABDERRAHIM Zemmit , , (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:11, pages:7364, Nature Publishing Group UK

Green hydrogen represents a sustainable energy solution capable of supporting the global shift away from fossil fuels. In Algeria, with its abundant solar resources, this potential is significant. However, challenges related to water resource management and the energy cost of production limit large-scale implementation. Addressing these issues is crucial for effectively harnessing Algeria’s renewable energy potential. This study conducts an in-depth analysis leveraging advanced simulation tools like HOMER Pro to compare photovoltaic (PV) productivity and hydrogen yields in Algerian regions. The study identifies both desert regions and non-desert areas for their potential, employing innovative methods such as seawater electrolysis and wastewater utilization for sustainable water sourcing. The potential integration of hydrogen fuel cells into microgrids is also explored for enhanced energy stability and storage. The findings reveal that desert regions, such as Tamanrasset and Adrar, exhibit the highest photovoltaic electricity productivity, generating 33.5 GWh/year and 32.9 GWh/year, respectively. This translates into green hydrogen production capacities of 679 tons/year and 668 tons/year. Meanwhile, northern regions like Tlemcen and Skikda demonstrate substantial potential, producing 29 GWh/year and 26.6 GWh/year of solar electricity, which results in green hydrogen production outputs of 589 tons/year and 539 tons/year, respectively. This underscores Algeria’s ability to leverage solar energy across diverse regions. The study highlights that while desert regions exhibit high solar and hydrogen production, northern areas provide a strategic advantage due to their proximity to European markets. Algeria’s existing infrastructure supports efficient export to European markets, offering a strategic advantage in green hydrogen trade.

Citation

ABDERRAHIM Zemmit , , (2025-02-14), Advancing green hydrogen production in Algeria with opportunities and challenges for future directions, Scientific Reports, Vol:15, Issue:1, pages:5559, Nature Publishing Group UK

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 sub optimally under varying conditions. This study introduces a fractionalized-order PID (FrOPID) controller, which incorporates an additional parameter to enhance the performance of conventional PID controllers. 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 in terms of rise time and settling time. Among the proposed designs, the integration of HHO and FrOPID proves to be the most effective in achieving a balance between responsiveness and stability, exhibiting exceptional robustness and adaptability to variations in vehicle mass and environmental conditions. This highlights the effectiveness of fractionalized-order controllers in managing the dynamic behavior of vehicles.

Citation

ABDERRAHIM Zemmit , , (2025-01-06), Analysis of Fractionalized Order PID Controller-based on Metaheuristic Optimization Algorithms for Vehicle Cruise Control Systems, HAL science ouverte : Science, engineering and technology, Vol:2025, Issue:2, pages:1-14, hal.science

In this work, two new hybrid control techniques combining Lyapunov theory (backstepping) and artificial intelligence (fuzzy logic type 1 and 2) have been developed for a wind energy conversion system (WECS) based on a double fed induction generator (DFIG). The main objective of this hybridisation is to ensure the adaptation of the gains in backstepping control by the regulators of type 1 and type 2, and to achieve instantaneous, precise, and continuous control of the active and reactive power exchanged with the utility grid by a doubly fed induction generator in a wind energy conversion system, our approach guarantees robustness and stability, ensuring high efficiency and optimal production quality of our WECS. In addition, an in-depth comparative study between these developed controllers is also the focus of this paper. The aim of this study is to compare the two new control techniques with the previously introduced backstepping control technique to highlight the performance of each. This comparative study is based on a series of tests during transient and steady-state operation of the system under the same conditions, namely, a qualitative comparison aimed at comparing response times and reference tracking capabilities; a quantitative comparison based on error and time as two important metrics that must be considered simultaneously; and, finally, a robustness comparison based on parameter variation of the system. The results obtained will show which of the two hybrid controllers is the best and most efficient in our system.

Citation

RIYADH Rouabhi , ABDERRAHIM Zemmit , ABDELGHAFOUR Herizi , Salim Djeriou , , (2025-01-01), Hybrid type‑2 fuzzy backstepping control of doubly fed induction generator for wind energy conversion systems, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol:47, Issue:24, pages:20, Springer Nature

In this study, we engineered an advanced electrolyzer utilizing Matlab Simscape. Our primary objective is to Green hydrogen production has emerged as a cornerstone for achieving sustainable energy transitions. Electrolyzer systems play a pivotal role in converting renewable energy into hydrogen, yet their performance is heavily influenced by the design, operation, and integration with renewable energy sources. This study presents an advanced modeling and simulation framework for electrolyzers, emphasizing the optimization of green hydrogen production under dynamic operational conditions. The proposed model incorporates key factors such as temperature, pressure, and electrical input variability to accurately predict electrolyzer performance. By integrating renewable energy sources, such as photovoltaic (PV) systems, and employing novel optimization techniques, this study demonstrates significant improvements in efficiency and hydrogen yield. Comprehensive validation is performed using real-world data, highlighting the model's applicability for large-scale deployment. This research provides a robust foundation for developing cost-effective, efficient, and sustainable green hydrogen production systems, addressing critical challenges in renewable energy integration and contributing to the global energy transition.

Citation

ABDERRAHIM Zemmit , , (2024-12-30), Advanced Electrolyzer Modeling and Simulation for Optimized Green Hydrogen Production, Algerian Journal of Signals and Systems, Vol:9, Issue:4, pages:255-260, Algerian Journal of Signals and Systems

Optimization of hydrogen production using MPPT algorithms in a PV system

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ABDERRAHIM Zemmit , ,(2024-12-13), Optimization of hydrogen production using MPPT algorithms in a PV system,4th International Conference on Frontiers in Academic Research,Konya/Turkey.

Enhancing the Performance of Grid-Connected Photovoltaic Systems Through Storage Integration: A Techno-Economic and Environmental Study

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ABDERRAHIM Zemmit , Yacine Benchenina , ,(2024-12-09), Enhancing the Performance of Grid-Connected Photovoltaic Systems Through Storage Integration: A Techno-Economic and Environmental Study,1st National Conference of Advanced Systems in Electrical Engineering (NCASEE'24),,University M'Hamed Bougara of Boumerdes, Algeria.

Utilizing Excess Solar Energy for Green Hydrogen Production in Algeria: A Feasibility Study

Citation

ABDERRAHIM Zemmit , Yacine Benchenina , ,(2024-12-09), Utilizing Excess Solar Energy for Green Hydrogen Production in Algeria: A Feasibility Study,1st National Conference of Advanced Systems in Electrical Engineering (NCASEE'24),,University M'Hamed Bougara of Boumerdes, Algeria.

واقع إستخدام تكنولوجيات الإعلام والإتصال بجامعة المسيلة

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ABDERRAHIM Zemmit , ,(2024-11-25), واقع إستخدام تكنولوجيات الإعلام والإتصال بجامعة المسيلة,استخدام الذكاء االصطناعي ودوره في تجسيد الرقمنة اإلدارية –الواقع والتحديات-,جامعة المسيلة

This research primarily focuses on the modeling and simulation of high frequency electromagnetic induction welding of pipes. The objective is to assemble two tubes of varying diameters. We have elucidated the electromagnetic and thermal mathematical models of our welding configuration and conducted a comprehensive analysis of the impact of various parameters on the quality of the welding process.

Citation

ABDERRAHIM Zemmit , ,(2024-11-17), Modeling multi physique of welding by induction,8th National Colloquim on Inductics : University – Industry / University of M'sila – Algeria,msila

This research examines the possibility of incorporating Machine Learning, a data-driven approach that learns from experience, into photovoltaic (PV) systems to significantly improve their efficiency and performance. Machine Learning offers a powerful and efficient way to solve complex problems by learning patterns and relationships from data. In this study, the authors explore the application of this technique in optimizing critical parameters within PV systems, such as module orientation, tilt angle, and power management. The research presents a comprehensive analysis of Machine Learning’s performance when applied to various photovoltaic systems in varying environmental conditions and load demands. The results demonstrate that the integration of Machine Learning leads to substantial improvements in system efficiency, energy output, and overall performance. This is achieved by optimizing the PV system’s parameters to maximize energy generation while minimizing energy losses and maintaining stability under fluctuating load conditions. Additionally, the paper discusses the advantages of using Machine Learning over traditional optimization techniques, such as its ability to manage problem optimization issues that are nonlinear and non-convex in nature, effectively. The authors also highlight the potential for further research in this area, including the exploration of other data-driven optimization techniques and the development of advanced control strategies for PV systems.

Citation

ABDERRAHIM Zemmit , Khaled BELHOUCHET , ,(2024-10-24), Enhancing Efficiency and Performance of Photovoltaic Systems through Machine Learning Integration,International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024),Aflou

This paper proposes a strategy for robust control of the wind turbine using a double-fed induction machine (DFIM) controlled by the park transformation, which allows control commands to be applied to the generated power. By orienting the stator flux, the active and reactive powers generated by the DFIM can be decoupled. The proposed control utilises a combination of sliding mode control and fuzzy logic with 12 linguistic variables. This approach effectively addresses modelling uncertainties in both the generator and wind turbine, resulting in improved performance and production quality in this domain. Simulation results will demonstrate the advantages of this approach over the classic setting.

Citation

ABDERRAHIM Zemmit , ABDELGHAFOUR Herizi , RIYADH Rouabhi , FAYSSAL Ouagueni , , (2024-10-16), New design of robust controller based on fuzzy 12 linguistic variables for wind power conversion system., Przegląd Elektrotechniczny, Vol:100, Issue:10, pages:89-92, Przegląd Elektrotechniczny

MULTI-LEVEL DTC_SVM FOR DUAL STAR INDUCTION MOTOR FED BY DPC RECTIFIER

Citation

ABDERRAHIM Zemmit , ,(2024-09-15), MULTI-LEVEL DTC_SVM FOR DUAL STAR INDUCTION MOTOR FED BY DPC RECTIFIER,5th International Conference on Frontiers in Academic Research,Konya/Turkey.

This research paper proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estimation. The suggested sensorless technique employs the sliding mode’s second-order approach using a model reference adaptive system (MRAS). The second-order super-twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control (SMC). In addition, the conjunction with the MRAS as a separated speed estimator can raise the accuracy and make the observer immune to speed fluctuations, particularly for low-speed applications. Furthermore, in order to achieve effective decoupled flux–torque control, the super-twisting algorithm (STA) was combined with a non-linear feedback linearisation controller for the inner control loop construction. This strategy can boost the control system’s stability and robustness against external disturbances and modelling uncertainty. The performance analysis of the suggested methods has been carried out via simulation and experimental validation utilizing MATLAB/Simulink with the dSpace 1104 real-time interface.

Citation

ABDERRAHIM Zemmit , , (2024-09-01), Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives, Power Electronics and Drives, Vol:9, Issue:2024, pages:23, Elsevier

There has a remarkable amount of progress in the Internet of Things (IoT) in terms of healthcare applications and everyday activities. IoT enables everyday objects to be connected to the Internet. These devices are equipped with sensors and actuators that enable data collection and sharing. However, the transmission of this data may be subject to several security and privacy concerns. To secure data transmission in IoT networks, a mutual authentication and key management scheme (SDTS) has proposed recently. However, this scheme suffers from security flaws such as Man-in-the-Middle (MITM) attack vulnerabilities and a lack of mutual authentication between IoT devices. As a result of these weaknesses, this paper proposes an enhanced scheme to address these vulnerabilities. By utilizing the cryptographic library RELIC, the proposed scheme is implemented and evaluated through experiments using IoTLAB-M3 devices equipped with ARM Cortex M3 micro-controllers. Compared to SDTS, the proposed scheme achieves improved security and performance, as well as lower computational, communication, and energy costs.

Citation

FARES Mezrag , ABDERRAHIM Zemmit , ,(2024-08-25), Enhanced Security for IoT Data Transmission,5 TH INTERNATIONAL CONFERENCE ON ENGINEERING AND APPLIED NATURAL SCIENCES,Konya/Turkey.

This document compares two ways for direct torque management of the dual star induction motor drive (DSIM): standard PID and innovative heuristic optimization based on the modified grey wolf optimizer mGWO-PID. DSIM speed control loop issues can be reduced by this combination. Programming and MATLAB implementation of the mGWO algorithm. The most important mGWO-PID method reduces high torque ripple, steady-state error, rising time, and drive performance disturbances.

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FARES Mezrag , ABDERRAHIM Zemmit , ,(2024-08-25), New Direct Torque Control of Dual Star Induction Motor using modified Grey Wolf Optimization Technique (mGWO),5 TH INTERNATIONAL CONFERENCE ON ENGINEERING AND APPLIED NATURAL SCIENCES,Konya/Turkey.

The distribution of the electric field plays a crucial role in evaluating the effectiveness of composite insulators. This research presents an innovative approach for optimizing the design of corona rings, aiming to decrease the electric field intensity in critical areas to satisfactory levels. The investigation examined the correlation among corona ring design variables and the intensity of the electric field close to the energized-end fitting in a 220 kV composite insulator equipped with a corona ring. Using design of experiment methods, the impact of three corona ring design parameters – corona ring diameter (R), ring tube diameter (Dr), and corona ring height (H) – was assessed. A novel nonlinear mathematical objective function was formulated, connecting the electric field magnitude to the structural parameters of the corona ring. Subsequently, the Bat algorithm, a bio-inspired optimization technique, was employed to enhance the initial corona ring design and mitigate the electric field intensity. Finally, the Finite Element Method (FEM) was utilized to simulate and evaluate the voltage distribution and electric field stress. The optimization process resulted in a substantial decrease in the highest electric field magnitude, by 58.6 % compared to the insulator with the threshold value, and 75 % when devoid of a corona ring. Additionally, the research highlighted the significant influence of ring tube thickness on the distribution of the electric field. The combination of experimental design and the Bat algorithm proved to be a powerful tool for optimizing the design of corona rings on transmission line composite insulators, providing precise solutions for optimizing corona discharge problems and enhancing the reliability of power transmission systems.

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Khaled BELHOUCHET , ABDERRAHIM Zemmit , ASSAM Zorig , Abdelhafid Bayadi, Lyamine Ouchen, , (2024-07-21), A novel application of artificial intelligence technology for outdoor high-voltage composite insulator, Measurement, Vol:238, Issue:115372, pages:10, Elsevier

AI-Powered Fault Detection in MPPT Algorithms Utilizing Artificial Neural Networks for Enhanced Photovoltaic System Performance

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ABDERRAHIM Zemmit , ,(2024-07-19), AI-Powered Fault Detection in MPPT Algorithms Utilizing Artificial Neural Networks for Enhanced Photovoltaic System Performance,4th International Conference on Scientific and Academic Research .,19-20 July in 2024 at Konya/Turkey.

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

his paper introduces an Adaptive Symmetrical Phase-Locked Loop (AS-PLL) designed to address various issues associated with traditional PLLs. An improved PLL architecture has been developed, the new PLL topologie allows to reduce frequency coupling and prevents unwanted sub-synchronous resonance oscillation resulting from classical asymmetry PLL. The system stability has been by integrating a structure and model into the PLL. Additionally, the impedance shaping method is used, with the assistance of the impedance model, to design state feedback loops that offer flexibility in bandwidth for the PLL. This was done while considering the current/power control loops to stabilise the system in the presence of a weak grid, The simulation results clearly illustrate the accuracy and effectiveness of the proposed strategy.

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ABDERRAHIM Zemmit , ,(2024-05-12), Adaptive Symmetrical PLL Based Impedance Shaping and Modelling Method to Improve Stability in Weak Grid,2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC),Setif

In this work, a study on a cap and pin insulator (1512L) is proposed to evaluate the distribution of the electric field and the potential along the insulator under different conditions. A computational and experimental study for the examination of a real insulators model is assessed. Tests on contaminated insulators in the laboratory under the suggested conditions have been carried out. Finite element methods (FEM) have been employed in the numerical analysis to assess the electrical properties of the insulator under the suggested contamination profiles, including potential and electric field. The study proposed in this paper provides an effective and practical tool for analysis and enhance the dielectric properties of the studied insulator.

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ABDERRAHIM Zemmit , Khaled BELHOUCHET , ASSAM Zorig , , (2024-04-23), Experimental investigation on dielectric properties of 1512L insulator using finite element analysis (FEM), Diagnostyka, Vol:25, Issue:2, pages:1-9, Polish Society of Technical Diagnostics

The integration of renewable energies, particularly photovoltaic energy, into green hydrogen production presents a highly promising prospect in the energy sector. Nonetheless, these energy sources face challenges due to their inherent instability and susceptibility to various atmospheric factors such as temperature and illumination. Therefore, it's imperative to tackle these challenges before renewable energy can be widely adopted as a primary source in hydrogen production. To address this, we propose constructing an autonomous photovoltaic system using MATLAB software. This system will employ a DC-DC boost converter to connect the PV array to the load. Furthermore, to enhance the efficiency of photovoltaic power generation, we will implement the perturbation and observation maximum power point tracking (MPPT) approach. The research endeavor extends towards integrating this optimized system with an electrolysers developed a sophisticated electrolyte model utilizing MATLAB Simulink software, paving the way for hydrogen gas production.

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ABDERRAHIM Zemmit , Yacine Benchenina , , (2024-04-22), A new improved of incorporating photovoltaic energy into the production of green hydrogen, Diagnostyka, Vol:25, Issue:2, pages:1-9, Diagnostyka

Optimization of hydrogen production using MPPT algorithms in a PV system

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ABDERRAHIM Zemmit , Khaled BELHOUCHET , ,(2024-04-21), Optimization of hydrogen production using MPPT algorithms in a PV system,4th International Conference on Frontiers in Academic Research on 13-14 December in 2024.,Konya/Turkey.

Turbomachine

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ABDERRAHIMZemmit , ,(2024-03-05); Turbomachine,University of M'Sila,

This document shows a comparative study between two approaches for the direct torque control of the dual star induction motor drive (DSIM), the first is based on conventional PID, the second uses new heuristic optimization technique based on the grey wolf optimizer GWO-PID. The benefits of this combination can reduce the Dual SIM speed control loop problems. The GWO algorithm has been programmed and implemented in MATLAB. In addition, the most importance appropriate GWO-PID scheme combines simultaneously many index such as reducing high torque ripple, steady-state error is reduced, response time is improved and disturbances do not change the drive performance.

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ABDERRAHIM Zemmit , Sabir MESSALTI , ABDELGHAFOUR Herizi , , (2024-02-01), New Direct Torque Control of Dual Star Induction Motor using Grey Wolf Optimization Technique., Przeglad Elektrotechniczny, Vol:100, Issue:2, pages:109-113, Przeglad Elektrotechniczny

In this work, we designed an advanced electrolyzer using Matlab Simscape. The main goal is to connect this component with a renewable energy source such as photovoltaic energy, wind energy, or a hybrid between them. And finding new technologies to control energy conversion in order to establish an integrated and much optimised system for the production of green hydrogen.

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Yacine Benchenina , ABDERRAHIM Zemmit , Bouzaki Mohammed Moustafa, ,(2023-11-28), Advanced Electrolyzer Modelisation for Green Hydrogen Production,International Conference on Environmental Engineering and Renewable Energy (ICENVERE - 23),Milan, Italy

The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.

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ABDELGHAFOUR Herizi , RIYADH Rouabhi , ABDERRAHIM Zemmit , , (2023-06-28), Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller, Diagnostyka, Vol:24, Issue:3, pages:1-8, Diagnostyka

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

in 1st International Conference on Recent Academic Studies ICRAS 2023 on May 2-4, 2023 in Konya, Turkey

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ABDERRAHIM Zemmit , Yacine Benchenina , ,(2023-05-02), New MPPT Control Methods for Grid Connected PV System to Produce Green Hydrogen,in 1st International Conference on Recent Academic Studies ICRAS 2023 on May 2-4, 2023 in Konya, Turkey,Konya, Turkey

Integration of Renewable Energy in Green Hydrogen Generation PRESENTATION TYPE Oral

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ABDERRAHIM Zemmit , Yacine Benchenina , ,(2023-04-18), Integration of Renewable Energy in Green Hydrogen Generation,1st International Conference on Scientific and Innovative Studies ICSIS 2023 on April 18-20, 2023 in Konya, Turkey,Konya, Turkey

Direct Torque Control of Dual Star Induction Motor using Grey Wolf Optimization Technique (GWO)

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ABDERRAHIM Zemmit , ,(2022-07-20), Direct Torque Control of Dual Star Induction Motor using Grey Wolf Optimization Technique (GWO),3rd International Conference on Applied Engineering and Natural Sciences on 20-23 July in 2022 at Konya/Turkey.,Konya/Turkey.

1st International Conference on Autonomous Systems and their Applications (ICASA'22).

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ABDERRAHIM Zemmit , ,(2022-04-02), Bio-inspired optimization algorithms for improving a variable step size Maximum Power Point Tracking method for photovoltaic systems,1st International Conference on Autonomous Systems and their Applications (ICASA'22).,El-Tarf , Algeria

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving the DC/DC boost converter, we have used two optimization algorithms namely the whale optimization algorithm (WOA) and grey wolf optimization (GWO) so we can tune the PID controller gains. The oscillation around the MPP and the fail accuracy under fast variable isolation are among the well-known drawbacks of conventional MPPT algorithms. To overcome these two drawbacks, we have formulated a new objective fitness function that includes WOA/GWO based accuracy, ripple, and overshoot. To provide the most relevant variable step size, this objective fitness function was optimized using the two aforementioned optimization algorithms (i.e., WOA and GWO). We have carried out several tests on Solarex MSX-150 panel and DC/DC boost converter based PV systems. In the simulation results section, we can clearly see that the two proposed algorithms perform better than the conventional ones in term of power overshoot, ripple and the response time.

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ABDERRAHIM Zemmit , Sabir MESSALTI , , (2021-02-01), A New Improved Variable Step Size MPPT Method for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller, Journal Européen des Systèmes Automatisés, Vol:54, Issue:1, pages:175-185, iieta

Virtual University is a model of integrated virtual education where its role is highlighted through its contribution to meeting the increasing need for qualification and training through a relatively flexible electronic learning system (in place and time). It also provides the nature of the work performed by this university that has the opportunity to turn into a national experience center capable of providing an example A model for the reproduction of traditional works (education, exams, student information, etc.) according to the modern formula, relying on information and communication technologies.

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ABDERRAHIM Zemmit , ,(2020), VIRTUAL UNIVERSITY MSILA,The digital transformation at the Algerian University: r eality and challenges,كلية الحقوق -جامعة المسيلة - فيفري2020

Pour pouvoir tirer le maximum de ce cours il faut connaître : Physique des milieux continus, Méthodes Numériques pour l'Acoustique, Traitement du signal, Vibration des ondes, Mécanique des Solides, Éléments finis

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ABDERRAHIMZemmit , ,(2019); Acoustique appliquée,Msila University,

المرافقة البيداغوجية

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ABDERRAHIM Zemmit , ,(2019), المرافقة البيداغوجية,يوم تكويني من تنظيم مركز اليقظة البيداغوجية,جامعة المسيلة

This paper presents a new advanced Direct Torque Control of doubly fed induction motor using Fuzzy logiccontroller, which the classic integral proportional (IP) controller have been replaced by new fuzzylogic controller (FLC) of speed to overcome the most drawbacks and limitations of classical DTC control, accuracy and the convergence speed under sudden changing torque reference and/or speed reference. The fuzzy logic controllerparameter that optimizethe performances of conventional Direct Torque Control of doubly fed induction motor. The proposed fuzzy logique controller have shown is better than the conventional controller.

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ABDERRAHIM Zemmit , Sabir MESSALTI , Said AZZOUZ, assam.boudia@univ-msila.dz, ,(2018), Direct Torque Control-Fuzzy Logic Controller (DTC-FLC)of Doubly Fed Induction Machine (DFIM),Second International Conference on Electrical Engineering, Biskra, December, 2-3, 2018.,Biskra, Algeria.

Ce cours a pour objectif d'introduire les phénomènes électromagnétiques dans le vide et dans la matière. La première partie se concentre sur l'électrostatique, la magnétostatique ainsi que sur les lois de l'électricité ce qui nous obligera à faire une petite digression du côté des phénomènes lentement variables dans le temps. La deuxième partie s'intéresse au phénomène d'induction et aux équations de Maxwell pour les régimes variables, dont une conséquence importante est l'existence d'ondes électromagnétiques dans le vide. Enfin, une dernière partie est consacrée aux équations de propagation des champs et des potentiels électromagnétiques.

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ABDERRAHIMZemmit , ,(2018); Théorie des champs Électromagnétiques,Msila University,

الملتقى التكويني الأول حول الديداكتيك ومنصات البحث العالمية

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ABDERRAHIM Zemmit , ,(2018), المنصة التعليمية Moodle,الملتقى التكويني الأول حول الديداكتيك ومنصات البحث العالمية,جامعة المسيلة _يوم :06نوفمبر2018

The predictive torque control (PTC) has a similar structure to the direct torque control (DTC). However, instead of using a look-up switching table and hysteresis comparators, this technique evaluates the torque and stator flux in cost function and includes the inverter model in the control design and without need to any modulation bloc. This paper investigates the sensorless predictive torque control. The association of sensorless algorithm can reduce the cost of the drive and improves its reliability. In this work dual observer structures will be incorporated to the main PTC scheme. The model reference adaptive system (MRAS) is proposed as a speed estimator. Then, this paper proposes an enhancement in the external speed control l (13) (PDF) Sensorless MRAS-Based Predictive Torque Control for Induction Motor Drive with Load Disturbance Observer. Available from: https://www.researchgate.net/publication/329360358_Sensorless_MRAS-Based_Predictive_Torque_Control_for_Induction_Motor_Drive_with_Load_Disturbance_Observer [accessed Feb 02 2020].

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ABDERRAHIM Zemmit , Abdelkarim AMMAR, Tarek AMEID, ,(2018), Sensorless MRAS-Based Predictive Torque Control for Induction Motor Drive with Load Disturbance Observer,Conference: Second International Conference on Electrical Engineering, Biskra 2018, ICEEB18,Biskra 2018

this paper present a new maximum power point tracking for photovoltaic system, variable step perturb and observe, in which to ameliorate the disadvantages of classical perturb and observe, a comparative study between the classical and the variable step is carried out in which many point has been proved, considering the change of temperature and irradiation, the results obtained proved the performance of the variable step including response time and oscillation. Keywords-solar energy, maximum power point, boost converter, perturb and observe.

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ABDERRAHIM Zemmit , Sabir MESSALTI , boudia assam, ,(2018), A comparative study on MPPT techniques for photovoltaic systems operating under fast changing environments,Conference: Second International Conference on Electrical Engineering ICEEB’2018, December 2-3 2018, Biskra, Algeria,Biskra, Algeria

The studies in photovoltaic system are increasing in the last years, because of a large, secure, broadly available and clean, but the output powers photovoltaic is affected by the change of the irradiation, temperature and load. Therefore, to maximize the efficiency of photovoltaic system it's necessary to track the maximum power point (MPP). In this work backstepping algorithm MPPT has been applied to improve the performance of photovoltaic system by using BP SX150S solar module connected to the DC-DC derived by the Backstepping MPPT, a compared study has been applied between backstepping and P&O algorithm, the comparative study results proposed backstepping algorithms prove the effectiveness of the proposed algorithm compared to P&O MPPT.

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ABDERRAHIM Zemmit , Sabir MESSALTI , ,(2018), Backstepping MPPT for photovoltaic system,Second International Conference on Electrical Engineering ICEEB’2018, December 2-3 2018, Biskra, Algeria,Biskra, Algeria

The field oriented based vector control (FOC) and the direct torque (DTC) are well-used control strategies in modern AC systems these days. They can create a decoupled flux and torque control and achieve good performance for AC motor drives. However, both of them have a number of limits and drawbacks, such as the dependence of machine parameters of the vector control and the high flux and torque ripples of DTC. This work presents a hybrid control strategy for induction motor bases on combining the principles of the two techniques, in order to benefit from their advantages and limits their disadvantages and gain high performance. Besides, this work aims to design a sliding mode observers for speed/flux as sensorless algorithm to improve the reliability and decrease the cost control system. Different results of this combined strategy will be investigated by numerical simulation using Matlab/Simulink.

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ABDERRAHIM Zemmit , Abdelkarim Ammar, ,(2016), Design of Combined Vector Control and Direct Torque Control for Induction Motor Drive with Speed MRAS Observer,Conference: The 9th International Conference on Electrical Engineering and First Workshop on Robotics and ControlsAt: Batna, Algeria,Batna, Algeria

Electrical power play a very important rule in 21thcentury, but non-conventional sources scale down day by day. Not only that concern for the environmental pollution around the world, so now a day’s photovoltaic (PV) power systems are getting more and more widespread with the increase in the energy demand. This paper proposed a Single-Phase nine level inverter with voltage control method using semi conductor power devices for photovoltaic systems. The proposed inverter system gives better voltage regulation, smooth results and efficiency compared to multi-level inverters. The inverter is capable of producing nine levels of output voltage levels (Vpv, 3Vpv/4,Vpv/2, Vpv/4, 0, -Vpv/4, -Vpv/2, -3Vpv/4, -Vpv).The proposed inverter was verified by using simulation of Matlab / Simulink software.

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ABDERRAHIM Zemmit , Sabir MESSALTI , Loukris Abdelhamid, Haddadi Mourad, , (2016), Single-Phase nine-level inverter for photovoltaic application, Revue des Energies Renouvelables, Vol:19, Issue:2, pages:181 –189, CDER- Algeria

Notre approche est essentiellement basée sur l’étude de modilisation et simulation de soudage par indection electromagnetique a haut frequence des pipes ligne il s’agit d’assembler deux tubes de diamètre quelconque. Nous avons décrivons les modèles mathématiques électromagnétiques et thermiques de notre configuration à souder que nous utilisons et étudier en détaille l’influence des différant paramètres sure la qualité de soudage.

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ABDERRAHIM Zemmit , ABDERRAHIM Zemmit , BENSAID Samir, ,(2014), Simulation en 2D du soudage par induction des tubes en Acier,La Conférence Internationale sur le Soudage, le CND et l’Industrie des Matériaux et Alliages (IC-WNDT-MI ),Annaba du 09 au 11 Novembre 2014

Notre approche est essentiellement basée sur l’étude de modilisation et simulation de soudage par indection electromagnetique a haut frequence des pipes ligne il s’agit d’assembler deux tubes de diamètre quelconque. Nous avons décrivons les modèles mathématiques électromagnétiques et thermiques de notre configuration à souder que nous utilisons et étudier en détaille l’influence des différant paramètres sure la qualité de soudage.

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ABDERRAHIM Zemmit , ABDERRAHIM Zemmit , BENSAID Samir, ,(2014), Simulation en 2D du soudage par induction des tubes en Acier,La Conférence Internationale sur le Soudage, le CND et l’Industrie des Matériaux et Alliages (IC-WNDT-MI ),Annaba du 09 au 11 Novembre 2014