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: 13 Dec 2017 *

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