M. IDIR Abdelhakim

Prof

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Specialized in DEPARTEMENT OF: ELECTRICAL ENGINEERING. Focused on academic and scientific development.

Contact Info

University of M'Sila, Algeria

Email : abdelhakim.idir@univ-msila.dz

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Recent Publications

2025-01-31

Performance Analysis of Fractionalized Order PID Controller-based on Metaheuristic Optimization Algorithms for Vehicle Cruise Control Systems

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

M. IDIR Abdelhakim, (2025-01-31), "Performance Analysis of Fractionalized Order PID Controller-based on Metaheuristic Optimization Algorithms for Vehicle Cruise Control Systems", [national] SCIENCE, ENGINEERING AND TECHNOLOGY , SCIENCE, ENGINEERING AND TECHNOLOGY

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2024-12-16

Optimizing a FOPID controller for liquid level control in a three-tank system with the Nelder-Mead algorithm

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

M. IDIR Abdelhakim, Karim Benaouicha, Hamza Akroum, Yassine Bensafia, , (2024-12-16), "Optimizing a FOPID controller for liquid level control in a three-tank system with the Nelder-Mead algorithm", [national] Studies in Engineering and Exact Sciences , Barbara Bonfim

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2024-11-24

Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller

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

M. IDIR Abdelhakim, (2024-11-24), "Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller", [national] SCIENCE, ENGINEERING AND TECHNOLOGY , Creative Commons Attribution 4.0 International License

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2024-11-15

Dynamic Interaction Analysis of Coupled Axial-Torsional-Lateral Mechanical Vibrations in Rotary Drilling Systems.

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

M. IDIR Abdelhakim, MEDDAH, Sabrina,, TADJER, Sid Ahmed,, Kong Fah Tee,, Mohamed Zinelabidine Doghmane, Madjid Kidouche, , (2024-11-15), "Dynamic Interaction Analysis of Coupled Axial-Torsional-Lateral Mechanical Vibrations in Rotary Drilling Systems.", [national] Structural Durability & Health Monitoring (SDHM) , Tech Science Press

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2024-11-09

Optimization of PIλDμ and PID Controllers for Fractional Systems Behaving as Slow First-Order and Fast Second-Order Systems.

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

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

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2024-11-02

Analysis of the Impact of Objective Function Choice on Optimal FOPID Controller Design for Three Tanks Liquid Level Control.

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

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

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2024-10-26

Modeling of a coupled severe axial-torsional vibrations in drill string petroleum system

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

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

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2024-10-10

Fractionalized order PID controller design for three tanks liquid level control

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

M. IDIR Abdelhakim, (2024-10-10), "Fractionalized order PID controller design for three tanks liquid level control", [national] Studies in Engineering and Exact Sciences , Studies Publicações

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2024-10-01

Performances Analysis of Fractional System Using the Fractional Order Adaptive PID Controller

The applications of fractional order systems in a range of scientific fields have caught the attention of researchers, especially in control strategy. 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, and overshoot) for fractional systems by introducing a fractional order inte-grator and differentiator in the classical feedback adaptive PID controller. To validate the arguments, the effectiveness and performance analysis of the proposed approach optimized by genetic algorithms 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 result in terms of settling time, rise time, overshoot, and mean absolute error.
Citation

M. IDIR Abdelhakim, Yassine Bensafia, Khatir Khettab, , (2024-10-01), "Performances Analysis of Fractional System Using the Fractional Order Adaptive PID Controller", [national] Proceedings of the 5th International Conference on Electrical Engineering and Control Applications , Lecture Notes in Electrical Engineering

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2024-09-19

Robust Adaptive Speed Control for the DC Motor Based on a Modified MRAC

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

M. IDIR Abdelhakim, (2024-09-19), "Robust Adaptive Speed Control for the DC Motor Based on a Modified MRAC", [national] Communications - Scientific Letters of the University of Zilina , University of Zilina

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2024-06-30

Interaction Analysis And Decoupling Of Axial-torsional Vibrations In Rotary Drilling Systems

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

M. IDIR Abdelhakim, Meddah Sabrina, Tadjer Sid Ahmed, Kidouche Madjid, Doghmane Mohamed Zinelabidine, , (2024-06-30), "Interaction Analysis And Decoupling Of Axial-torsional Vibrations In Rotary Drilling Systems", [national] International Journal of Automation and Safety , ASJP

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2024-06-25

Modeling and interaction analysis of coupled severe axial-torsional vibrations in petroleum rotary drilling systems

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

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

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Control of coupled axial-torsional vibrations in petroleum drill string using a fractional approach

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

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

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2024-06-17

PID Controller Design with a New Method Based on Fractionalized Integral Gain for Cruise Control System

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.
Citation

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

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2024-05-17

Reduced-Order Frac tionalized Controller for Disturbance Compensation Based on Direct Torque Control of DSIM With Less Harmonic”,

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

M. IDIR Abdelhakim, (2024-05-17), "Reduced-Order Frac tionalized Controller for Disturbance Compensation Based on Direct Torque Control of DSIM With Less Harmonic”,", [national] ELECTRICA , Istanbul University

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2024-05-12

Axial-torsional vibrations interaction analysis and decoupling in drill string systems

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

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

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2024-03-01

PID Control Design of Strongly Coupled Axial-Torsional Vibrations in Rotary Drilling Systems.

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

M. IDIR Abdelhakim, Sabrina Meddah,, Sid Ahmed Tadjer,, Mohammed Doghmane,, Madjid Kidouche, , (2024-03-01), "PID Control Design of Strongly Coupled Axial-Torsional Vibrations in Rotary Drilling Systems.", [national] Przeglad Elektrotechniczny , Wydawnictwo SIGMA

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Robustness Enhancement of Fractionalized Order Proportional Integral Controller for Speed Control of Indirect Field-Oriented Control Induction Motor.

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

M. IDIR Abdelhakim, Zahira Ousaadi,, Hamza Akroum,, , (2024-03-01), "Robustness Enhancement of Fractionalized Order Proportional Integral Controller for Speed Control of Indirect Field-Oriented Control Induction Motor.", [national] Przeglad Elektrotechniczny , Wydawnictwo SIGMA

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2024-01-23

Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system.

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

M. IDIR Abdelhakim, Yassine Bensafia, Laurent Canale, , (2024-01-23), "Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system.", [national] Journal of the Brazilian Society of Mechanical Sciences and Engineering , SPRINGER

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2023-12-05

Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system

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

M. IDIR Abdelhakim, (2023-12-05), "Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system", [national] Journal of the Brazilian Society of Mechanical Sciences and Engineering , Springer Berlin Heidelberg

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Improvement of Steady-State Performance of Direct Torque Control for Dual Star Induction Motor Drives

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

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

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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

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.
Citation

M. IDIR Abdelhakim, (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", [national] Przeglad Elektrotechniczny , Polish scientific journals

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2023-11-28

Interaction Analysis and Decoupling of AxialTorsional Vibrations in Rotary Drilling Systems

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

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

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2023-11-06

Finite Element Modeling, Interraction Analysis and Control of Coupled Axial-Torsional Vibrations in Rotary Drilling Systems

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

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

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2023-07-01

Performance improvement of aircraft pitch angle control using a new reduced order fractionalized PID controller

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

M. IDIR Abdelhakim, (2023-07-01), "Performance improvement of aircraft pitch angle control using a new reduced order fractionalized PID controller", [national] asian journal of control , Wiley

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2023-06-06

A Comparative Study of Integer Order PID, Fractionalized Order PID and Fractional order PID Controllers on a Class of Stable System

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.
Citation

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

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2023-05-23

Modeling and interaction analysis of Axial-torsional vibrations in the drillstring system

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

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

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2023-05-15

Performance Improvement of Aircraft pitch angle using the Fractional Order Adaptive PID Controller

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

M. IDIR Abdelhakim, (2023-05-15), "Performance Improvement of Aircraft pitch angle using the Fractional Order Adaptive PID Controller", [national] PRZEGLĄD ELEKTROTECHNICZNY , Portal informacji technicznej

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2023-05-02

Improved MPPT Control Strategy for PV Connected to Grid Using IncCond-PSO-MPC Approach

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.
Citation

M. IDIR Abdelhakim, (2023-05-02), "Improved MPPT Control Strategy for PV Connected to Grid Using IncCond-PSO-MPC Approach", [national] CSEE Journal of Power and Energy Systems , CSEE

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2023-03-15

Méthodes numériques appliquées et Optimisation- Cours et Exercices

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.
Citation

M. IDIR Abdelhakim, (2023-03-15), "Méthodes numériques appliquées et Optimisation- Cours et Exercices", [national] Université de M'sila

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2022

Novel Robust Control Using a Fractional Adaptive PID Regulator for an Unstable System

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.
Citation

M. IDIR Abdelhakim, (2022), "Novel Robust Control Using a Fractional Adaptive PID Regulator for an Unstable System", [national] Indonesian Journal of Electrical Engineering and Informatics (IJEEI) , Institute of Advanced Engineering and Science (IAES) Indonesia Section

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Design and Robust Performance Analysis of Low-Order Approximation of Fractional PID Controller Based on an IABC Algorithm for an Automatic Voltage Regulator System

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.
Citation

M. IDIR Abdelhakim, (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", [national] energies , MDPI

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A Novel Fractionalized PID controller Using The Sub-optimal Approximation of FOTF

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
Citation

M. IDIR Abdelhakim, (2022), "A Novel Fractionalized PID controller Using The Sub-optimal Approximation of FOTF", [national] Algerian Journal Of Signals And Systems (AJSS) , ASJP - Laboratory of Signals and Systems

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Tracking Trajectory of the SCARA Robot in adaptive Control using the Fractional Model Reference

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 .
Citation

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

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STABILITY AND ACCURACY IMPROVEMENT IN LOW-SPEED CURRENT ESTIMATOR BASED ON SLIDING MODE TAKAGI-SUGENO ALGORITHMS

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.
Citation

M. IDIR Abdelhakim, (2022), "STABILITY AND ACCURACY IMPROVEMENT IN LOW-SPEED CURRENT ESTIMATOR BASED ON SLIDING MODE TAKAGI-SUGENO ALGORITHMS", [national] Revue roumaine des sciences techniques—série électrotechnique et énergétique, , Romanian Academy, Publishing House of the Romanian Academy

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A NEW COMBINED METHOD FOR TRACKING THE GLOBAL MAXIMUM POWER POINT OF PHOTOVOLTAIC SYSTEMS

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.
Citation

M. IDIR Abdelhakim, (2022), "A NEW COMBINED METHOD FOR TRACKING THE GLOBAL MAXIMUM POWER POINT OF PHOTOVOLTAIC SYSTEMS", [national] Revue roumaine des sciences techniques—série électrotechnique et énergétique, , Romanian Academy, Publishing House of the Romanian Academy

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High Order Approximation of Fractional PID Controller based on Grey Wolf Optimization for DC Motor

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

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

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2020

Comparative performance evaluation of four photovoltaic technologies in saharan climates of Algeria: ghardaïa pilot station

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.
Citation

M. IDIR Abdelhakim, (2020), "Comparative performance evaluation of four photovoltaic technologies in saharan climates of Algeria: ghardaïa pilot station", [national] Indonesian Journal of Electrical Engineering and Computer Science , UAD Insitute of Scientific Publication and Press (LPPI), 9th Floor, 4th Campus of Universitas Ahmad Dahlan, Tamanan, Banguntapan, Bantul, Yogyakarta 55191, Indonesia

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a comparative study of MPPT controllers for PV systems : NN-PID and NN-MPC approaches

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.
Citation

M. IDIR Abdelhakim, (2020), "a comparative study of MPPT controllers for PV systems : NN-PID and NN-MPC approaches", [national] 1er conference nationale sur la transition energétique en Algérie , M'sila

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New improved hybrid MPPT based on neural network-model predictive control-Kalman filter for photovoltaic system

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.
Citation

M. IDIR Abdelhakim, (2020), "New improved hybrid MPPT based on neural network-model predictive control-Kalman filter for photovoltaic system", [national] Indonesian Journal of Electrical Engineering and Computer Science , Institute of Advanced Engineering and Science.

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2019

Modelling and Control of MPPT based Solar PV System and Battery Storage in Microgrids

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

M. IDIR Abdelhakim, Sid Ahmed Tadjer, Yassine Bensafia, , (2019), "Modelling and Control of MPPT based Solar PV System and Battery Storage in Microgrids", [international] Deuxième CONFERENCE INTERNATIONALE SUR LES ENERGIES FOSSILES, NOUVELLES ET RENOUVELABLES (SIER 2019) , Boumerdes

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Stabilization and Synchronization of discrete-time Fractional-Order Chaotic Systems Based on Adaptive type-2 Fuzzy Controller

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

M. IDIR Abdelhakim, Bensafia Yassine, , (2019), "Stabilization and Synchronization of discrete-time Fractional-Order Chaotic Systems Based on Adaptive type-2 Fuzzy Controller", [international] International Conference on Computational Methods in Applied Sciences (IC2MAS19) , Istanbul-Turkey

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Robustness Analysis of Fractional Order PID Controller for Stable and Unstable Systems Using Evolutionary Algorithms

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

M. IDIR Abdelhakim, Yassine Bensafia, Madjid Kidouche, Aimad Ahriche, , (2019), "Robustness Analysis of Fractional Order PID Controller for Stable and Unstable Systems Using Evolutionary Algorithms", [international] 8th International Symposium on Hydrocarbons and Chemistry “ISHC8” Boumerdes , Boumerdes, Algérie

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Real Time Simulation of Sensorless Control based on back-EMF of PMSM on RT-Lab/ARTEMIS Real-Time Digital Simulator

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

M. IDIR Abdelhakim, 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", [national] International Journal of Advances in Applied Sciences (IJAAS) , iaescore

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