Adaptive Fuzzy Integral-Backstepping Controller for Linear Induction Motor Position Control

Author

Hazzab, A. ; Bousserhane, I.K. ; Sicard, P. ; Rahli, M. ; Kamli, M. ; Mazari, B.

Author_Institution

Bechar Univ. Center

fYear

2006

fDate

6-10 Nov. 2006

Firstpage

406

Lastpage

411

Abstract

In this paper, position control of a linear induction motor (LIM) using adaptive fuzzy backstepping design with integral action is proposed. An integral backstepping design for of LIM is first proposed to compensate the uncertainties that affect indirect field oriented control. A simple fuzzy inference mechanism is used to achieve the position tracking objective with uncertainties in mechanical parameters, resulting into a fuzzy integral-backstepping controller. Numerical simulations show that the proposed scheme presents good performances as compared to the conventional integral backstepping control

Keywords

adaptive control; control system synthesis; fuzzy control; induction motors; inference mechanisms; linear motors; machine vector control; numerical analysis; position control; uncertain systems; adaptive fuzzy integral-backstepping controller design; fuzzy inference mechanism; indirect field oriented control; linear induction motor position control; mechanical parameter uncertainties; numerical simulations; uncertainty compensation; Adaptive control; Backstepping; DC motors; Fuzzy control; Induction motors; Machine vector control; Position control; Programmable control; Synchronous motors; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on

Conference_Location

Paris

ISSN

1553-572X

Print_ISBN

1-4244-0390-1

Type

conf

DOI

10.1109/IECON.2006.347997

Filename

4153588