Title: Robust fuzzy fault tolerant control for induction motor subject to sensor fault

Authors: Habib Ben Zina; Moez Allouche; Maha Bouattour; Mansour Souissi; Mohamed Chaabane; Larbi Chrifi-Alaoui

Addresses: Laboratory of Science and Technique of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax, Tunisia ' Laboratory of Science and Technique of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax, Tunisia ' Laboratory of Science and Technique of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax, Tunisia ' Laboratory of Science and Technique of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax, Tunisia ' Laboratory of Science and Technique of Automatic Control and Computer Engineering (Lab-STA), National School of Engineering of Sfax, Tunisia ' Laboratory of Innovative Technology, University of Picardie Jule Verne, Cuffies, France

Abstract: This study presents a strategy of fault tolerant control (FTC) to keep the vector controlled induction motor (IM). The aim is to minimise the effect of the sensor fault and the parametric uncertainties. Firstly, a fuzzy proportional multiple integral observer (PMIO) is used to estimate simultaneously the system state and the sensor fault. Secondly, a feedback robust state tracking control is synthesised to guarantee the control performances. The proposed controller is based on a T-S reference model to specify the desired trajectory. The performances of the trajectory tracking are analysed using the Lyapunov theory and the L2 optimisation. The gains of the observer and controller are obtained by solving a set of LMIs constraint. Finally, simulation results are given to show the effectiveness of the proposed control scheme.

Keywords: induction motor; fault tolerant control; FTC; H theory; Lyapunov theory; L2 performance; linear matrix inequality; LMI; sensor faults.

DOI: 10.1504/IJAAC.2018.090812

International Journal of Automation and Control, 2018 Vol.12 No.2, pp.271 - 290

Received: 05 Jul 2016
Accepted: 14 Oct 2016

Published online: 05 Feb 2018 *

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