title: Implementation of a new fuzzy vector control of induction motor.
abstract: The aim of this paper is to present a new approach to control an induction motor using type-1 fuzzy logic. The induction motor has a nonlinear model, uncertain and strongly coupled. The vector control technique, which is based on the inverse model of the induction motors, solves the coupling problem. Unfortunately, in practice this is not checked because of model uncertainties. Indeed, the presence of the uncertainties led us to use human expertise such as the fuzzy logic techniques. In order to maintain the decoupling and to overcome the problem of the sensitivity to the parametric variations, the field-oriented control is replaced by a new block control. The simulation results show that the both control schemes provide in their basic configuration, comparable performances regarding the decoupling. However, the fuzzy vector control provides the insensitivity to the parametric variations compared to the classical one. The fuzzy vector control scheme is successfully implemented in real-time using a digital signal processor board dSPACE 1104. The efficiency of this technique is verified as well as experimentally at different dynamic operating conditions such as sudden loads change, parameter variations, speed changes, etc. The fuzzy vector control is found to be a best control for application in an induction motor.
authors.affiliation: CReSTIC, IUT of Troyes. University of Reims Champagne Ardenne. 9 Rue de Québec B.P. 396, Troyes cedex, France; The Industrial Electrical System, University of Science and Technology Houari Boumediene. USTHB, BP32 El Alia, Algeria. Electronic address: souad.rafa@univ-reims.fr.
authors.forename: Souad
authors.initials: S
authors.lastname: Rafa
authors.affiliation: The Industrial Electrical System, University of Science and Technology Houari Boumediene. USTHB, BP32 El Alia, Algeria.
authors.forename: Abdelkader
authors.initials: A
authors.lastname: Larabi
authors.affiliation: The Industrial Electrical System, University of Science and Technology Houari Boumediene. USTHB, BP32 El Alia, Algeria.
authors.forename: Linda
authors.initials: L
authors.lastname: Barazane
authors.affiliation: CReSTIC, IUT of Troyes. University of Reims Champagne Ardenne. 9 Rue de Québec B.P. 396, Troyes cedex, France.
authors.forename: Malik
authors.initials: M
authors.lastname: Manceur
authors.affiliation: CReSTIC, IUT of Troyes. University of Reims Champagne Ardenne. 9 Rue de Québec B.P. 396, Troyes cedex, France.
authors.forename: Najib
authors.initials: N
authors.lastname: Essounbouli
authors.affiliation: CReSTIC, IUT of Troyes. University of Reims Champagne Ardenne. 9 Rue de Québec B.P. 396, Troyes cedex, France.
authors.forename: Abdelaziz
authors.initials: A
authors.lastname: Hamzaoui
keywords: Fuzzy vector control; Induction motor; Type-1 fuzzy logic; Vector control