Publications Scientifiques

Now showing 1 - 4 of 4

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.
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
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
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

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