Title: A Takagi-Sugeno fuzzy control of induction motor drive: experimental results

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

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

Abstract: This paper studies an observer-based H∞ tracking control problem for induction motor in order to guarantee the field-oriented control (FOC) performances. Firstly, the physical model of the induction motor is approximated by the T-S fuzzy technique in the synchronous d-q frame rotating. Then, a fuzzy observer-based feedback control is synthesised to guarantee the control performances. The proposed controller is based on a T-S reference model in which a desired trajectory has been specified. The performances of the trajectory tracking are analysed using the Lyapunov theory and the L2 optimisation. The gains of the observer and the controller are obtained by solving a set of LMIs constraint in a single step. To highlight the effectiveness of the proposed strategy experimental results are presented for a 1.5 KW induction motor.

Keywords: induction motor; Takagi-Sugeno; Lyapunov theory; LMIs constraints.

DOI: 10.1504/IJAAC.2018.088606

International Journal of Automation and Control, 2018 Vol.12 No.1, pp.44 - 61

Received: 05 Jul 2016
Accepted: 14 Oct 2016

Published online: 30 Oct 2017 *

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