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Hemza Mekki

Work place: Ecole National Polytechnique, Automatic Control Department LCP, B.P 182 Elharrach, Algiers, Algeria

E-mail: hamza.mekki@g.enp.edu.dz

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Research Interests: Engineering

Biography

Hemza MEKKI was born in M’Sila, Algeria, on January 24, 1983. He received the engineering degree in electronic from the University of M’Sila, Algeria, in 2006. He received the degrees of Magister and doctorate on automatic from national polytechnic school, Algiers, Algeria, in 2009 and 2018 respectively. He is currently a lecturer at the University of Mohamed Boudiaf of M’Sila. His research interests are fault tolerant control and diagnostic of electrical drive systems.

Author Articles
Adaptive RBFNN Strategy for Fault Tolerant Control: Application to DSIM under Broken Rotor Bars Fault

By Noureddine Layadi Samir Zeghlache Ali Djerioui Hemza Mekki Fouad Berrabah

DOI: https://doi.org/10.5815/ijisa.2019.02.06, Pub. Date: 8 Feb. 2019

This paper presents a fault tolerant control (FTC) based on Radial Base Function Neural Network (RBFNN) using an adaptive control law for double star induction machine (DSIM) under broken rotor bars (BRB) fault in a squirrel-cage in order to improve its reliability and availability. The proposed FTC is designed to compensate for the default effect by maintaining acceptable performance in case of BRB. The sufficient condition for the stability of the closed-loop system in faulty operation is analyzed and verified using Lyapunov theory. To proof the performance and effectiveness of the proposed FTC, a comparative study within sliding mode control (SMC) is carried out. Obtained results show that the proposed FTC has a better robustness against the BRB fault.

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