Catégorie B SET

LATRECHE, S, and Said Benaggoune. 2020. “Robust Wheel Slip for Vehicle Anti-lock Braking System with Fuzzy Sliding Mode Controller (FSMC)”. Engineering, Technology & Applied Science Research 10 (5) : 6368-6373. Publisher's Version Abstract

Anti-lock Braking System (ABS) is used in automobiles to prevent slipping and locking of wheels after the brakes are applied. Its control is a rather complicated problem due to its strongly nonlinear and uncertain characteristics. The aim of this paper is to investigate the wheel slip control of the ground vehicle, comprising two new strategies. The first strategy is the Sliding Mode Controller (SMC) and the second one is the Fuzzy Sliding Mode Controller (FSMC), which is a combination of fuzzy logic and sliding mode, to ensure the stability of the closed-loop system and remove the chattering phenomenon introduced by classical sliding mode control. The obtained simulation results reveal the efficiency of the proposed technique for various initial road conditions.

Ouada, L, Said Benaggounea, and Sebti Belkacem. 2020. “Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator”. IJE TRANSACTIONS B: Applications 33 (2) : 248-256. Publisher's Version Abstract

The combination of neural networks and fuzzy controllers is considered as the most efficient approach for different functions approximation, and indicates their ability to control nonlinear dynamical systems. This paper presents a hybrid control strategy called Neuro-Fuzzy Sliding Mode Control (NFSMC) based on the Brushless Doubly fed Induction Generator (BDFIG). This replaces the sliding surface of the control to exclude chattering phenomenon caused by the discontinuous control action. This technique offers attractive features, such as robustness to parameter variations. Simulations results of 2.5 KW BDFIG have been presented to validate the effectiveness and robustness of the proposed approach in the presence of uncertainties with respect to vector control (VC) and sliding mode control (SMC). We compare the static and dynamic characteristics of the three control techniques under the same operating conditions and in the same simulation configuration. The proposed controller schemes (NFSMC) are effective in reducing the ripple of active and reactive powers, effectively suppress sliding-mode chattering and the effects of parametric uncertainties not affecting system performance.

Abderazak, Saidi, and Naceri Farid. 2019. “A New robust adaptive fuzzy synergetic control for nonlinear systems with an application to an inverted pendulum, ISSN / e-ISSN 1746-6172 / 1746-6180”.  International Journal of Modelling Identification and Control volume 33 (N°2). Publisher's Version Abstract
This paper deals with a nonlinear adaptive control design based on synergetic control, which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described in this work.
Oussama, Moussa, Abdessemed Rachid, and Benaggoune Said. 2019. “Super twisting sliding mode control for brushless doubly fed induction generator based on WECS, ISSN 0975-6809”. International Journal of System Assurance Engineering and Management volume 10 : pp. 1145–1157. Publisher's Version Abstract
This paper deals with the robust power control of a grid-connected brushless doubly-fed induction generator (BDFIG) driven by the variable speed wind turbine. With the using of a super twisting algorithm which is a high-order sliding mode controller (HOSMC). This approach guarantees both the dynamic performance and the same robustness as traditional first order (SMC) algorithm and reduces the chattering phenomenon, which is the biggest disadvantage in the implementation of this technique. The developed algorithm relies on the decoupling control by implementing the strategy of oriented grid flux vector control. In order to enhance the desired performances, an attempt is made by controlling the generated stator active and reactive powers in a linear and decoupled manner to ensure the global asymptotical stability, HOSMC approach is implemented. Therefore, an optimal operation of the BDFIG in sub-synchronous operation is used in addition to the stator power flows where the stator power factor is kept in a unity. The suggested method is examined with the Matlab/Simulink software. The performances and the feasibility of the designed control are illustrated by simulation results.
Abderazak, Saidi, and Naceri Farid. 2019. “Speed Control of a doubly fed induction Machine Based on Fuzzy Adaptive, ISSN / e-ISSN 1758-3657 / 1758-8723”. International Journal Intelligent Engineering Informatics volume 7 (N°1 ) : pp.61 - 76. Publisher's Version Abstract
In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains ke and kdce to ensure the stability of the control in particular time, simulations results obtained by using MATLAB environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.
Yazid, Zidani Mohamed, et al. 2019. “Design of Robust Control using Fuzzy Logic Controller for Doubly Frd Induction Motor Drives, ISSN / e-ISSN 1454 / 234X”. UPB Scientific Bulletin, Series A: Applied Mathematics and Physics volume 81 ( issue 1). Publisher's Version Abstract
This paper presents a fuzzy logic controller destined to the doubly-fed induction motor (DFIM) speed controlling. It solves the problems associated with the conventional IP (Integral Proportional) controller. This fuzzy logic controller is based on the decoupling control to enhance robustness under different operating conditions such as load torque and in the presence of parameters variation. The simulation results for various scenarios show the high performances of the proposed control in terms of piloting effectiveness, precision, rapidity and stability for the high powers DFIM operating at variable speeds.
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