Publications Scientifiques

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Author: search.filters.author.Idir, AbdelhakimHas files: No

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    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
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    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
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    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