Browsing by Author "Idir, Abdelhakim"

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Combining sliding mode and second lyapunov function for flux estimation
(2016) Ahriche, Aimad; Kidouche, Madjid; Idir, Abdelhakim; Deia, Yacine
Comparative performance evaluation of four photovoltaic technologies in saharan climates of Algeria: ghardaïa pilot station
(Indonesian Journal of Electrical Engineering and Computer Science, 2020) Tadjer, Sid Ahmed; Idir, Abdelhakim; Chekired, Fathia
The aim of this paper is to present an evaluation of the performancerateof 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(𝑚−𝑠𝑖), amorphous silicon (𝑎−𝑠𝑖), poly-crystalline silicon (𝑝𝑐−𝑠𝑖)and cadmium telluridethin film(𝐶𝑑𝑇𝑒−𝑇𝐹)) installed in Ghardaia which is located in southern ofAlgeria’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.
A comparative study between fractionalized and fractional order PID controllers for control of a stable system based on particle swarm optimization algorithm
(Wydawnictwo SIGMA-NOT, 2023) Idir, Abdelhakim; Berrabah, Fouad; Laurent, Canale
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
Design and robust performance analysis of Low-Order approximation of fractional PID controller based on an IABC algorithm for an automatic voltage regulator system
(MDPI, 2022) Idir, Abdelhakim; Canale, Laurent; Bensafia, Yassine; Khettab, Khatir
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) low-order 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
Différentes stratégies de commande de lamachine asynchrone : etudes et comparaison-implémentation sur plateforme temps réel RT-Lab
(2015) Idir, Abdelhakim
En raison de sa simplicité, son faible coût et sa facilité d'entretien, la machine asynchrone est sans doute la machine la plus utilisée dans la plupart des secteurs industriels. Cependant son comportement dynamique est très complexe (système multivariable, non linéaire, fortement couplé, à dynamique rapide et à paramètres variant dans le temps) rend sa commande compliquée et exige des algorithmes de contrôle complexes. Le but de cette thèse dans un premier lieu est d'étudier et de mettre en œuvre des différentes stratégies de commande qui sont pour but d'améliorer la commande vectorielle, à savoir (la commande directe de couple et les commandes sans capteur). Puis la mise en œuvre d'une loi de commande sans capteur basée sur système adaptatif à modèle de référence (MRAS) combinée avec une commande mode glissant, SVM et un observateur de Luenberger appliquée à la machine asynchrone avec comme objectifs : améliorer la poursuite de trajectoires, garantir la stabilité, la robustesse aux variations des paramètres et le rejet de perturbation. Dans un second lieu, l'implémentation de la stratégie de commande V/f, la commande DSVM sur une plateforme temps réel RT-Lab et l'implémentation de la stratégie de commande DTC sur une plateforme temps réel dSPACE. Nous croyons que les simulations temps réel que nous avons réalisées avec la plateforme RT-Lab du laboratoire LAA/UMBB constituent une contribution majeure de cette thèse. Cette simulation temps réel peut servir éventuellement comme point de départ de prototypage de contrôle rapide (RCP) et de simulation matériel dans la boucle (HIL)
Enhancing the transient performances and stability of three-tank liquid level using a modified pid controller
(Revue roumaine des sciences techniques — Série électrotechnique et énergétique, 2025) Idir, Abdelhakim; Nesri, Mokhtar; Belhouchet, Khaled; Guedida, Sifelislam; Canale, Laurent
Managing liquid levels in industrial tanks is crucial, especially for precise component mixing. Traditional PID controllers, though widely used, often exhibit slow settling times and excessive overshoot, which can affect system performance. This study proposes a fractionalized order PID (FrOPID) controller optimized using the Modified Artificial Hummingbird Algorithm (MAHA) to enhance stability and response in a three-tank system. The controller’s effectiveness is evaluated under varying valve coefficient (Kv) and tank cross-sectional area conditions. A comparative analysis with advanced metaheuristic-optimized PID controllers confirms the superiority of the MAHA/FrOPID in terms of accuracy, response speed, and robustness, making it a highly efficient solution for liquid level control.
An Improved Robust Fractionalized PID Controller for a Class of Fractional-Order Systems with Measurement Noise
(INASS, 2018) Bensafia, Yassine; Khettab, Khatir; Idir, Abdelhakim
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 paper we propose a new approach for robust control by fractionalizing an integer order integrator in the classical PID control scheme and we use the Sub-optimal Approximation of fractional order transfer function to design the parameters of PID controller, after that we study the performance analysis of fractionalized PID controller over integer order PID controller. The implementation of the fractionalized terms is realized by mean of well-established numerical approximation methods. Illustrative simulation examples show that the disturbance rejection is improved by 50%. This approach can also be generalized to a wide range of control methods
Influence of approximation methods on the design of the novel low-order fractionalized PID controller for aircraft system
(Springer Nature, 2024) Idir, Abdelhakim; Bensafia, Yassine; Canale, Laurent
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.
New improved hybrid MPPT based on neural network-model predictive control-kalman filter for photovoltaic system
(2020) Kacimi, Nora; Grouni, Said; Idir, Abdelhakim; Boucherit, Mohamed Seghir
In this paper, new hybrid maximum power point tracking strategy for photovoltaic systems has been proposed. The proposed technique for control based on a novel combination of an artificial neural network with an improved model predictive control using Kalman Filter. 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 with fast changing weather parameters. The proposed control technique can track the 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 compared to conventional perturb and observation neural network based proprtional integral control and neural network based model predictive control in terms of response time, efficiency and steady-state oscillations
Novel robust control using a fractional adaptive PID regulator for an unstable system
(Institute of Advanced Engineering and Science, 2022) Bensafia, Yassine; Idir, Abdelhakim; Khettab, Khatir; Akhtar, Muhammad Saeed; Sarwat, Zahra
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
Performance improvement of aircraft pitch angle control using a new reduced order fractionalized PID controller
(Wiley, 2022) Idir, Abdelhakim; Bensafia, Yassine; Khettab, Khatir; Canale, Laurent
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 and more 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
PID Control Design of Strongly Coupled Axial-Torsional Vibrations in Rotary Drilling Systems
(Wydawnictwo SIGMA-NOT, 2024) Meddah, Sabrina; Idir, Abdelhakim; Tadjer, Sid Ahmed; Doghmane, Mohamed Zinelabidine; Kidouche, Madjid
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.
Robustness Enhancement of Fractionalized Order Proportional Integral Controller for Speed Control of Indirect Field-Oriented Control Induction Motor
(Wydawnictwo SIGMA-NOT, 2024) Ousaadi, Zahira; Akroum, Hamza; Idir, Abdelhakim
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
Speed control of DC motor using PID and FOPID controllers based on differential evolution and PSO
(INASS, 2018) Idir, Abdelhakim; Kidouche, Madjid; Bensafia, Yassine
DC motors are widely used in industrial application for its different advantage such us high efficiency, low costs and flexibilities. For controlling the speed of DC motor, conventional controller PI and PID were the most widely used controllers. But due to empirically selected parameters 𝐾𝑝,𝐾𝑖,𝐾𝑑 and limitation of convention PID controller to achieve ideal control effect for higher order systems, a Fractional order Proportional-Integral-Derivative PID (FOPID) based on optimization techniques was proposed in this paper. The aim of this paper is to study the tuning of a FOPID controller using intelligent soft computing techniques such as Differential Evolution (DE) and Particle Swarm Optimization (PSO) for designing fractional order PID controller. The parameters of FOPID controller are determined by minimizing the Integral Time Absolute Error (ITAE) between the output of reference model and the plant. The performance of DE and PSO were compared with several simulation experiments. The simulation results show that the DE-based FOPID controller tuning approach provides improved performance for the setpoint tracking, error minimization, and measurement noise attenuation