Induction machine speed control using fuzzy adaptive controller

Author

Golea, N. ; Golea, A. ; Kadjoudj, M.

Author_Institution

E.E. Inst., Oum-El-Bouaghi Univ., Oum-El-Bouaghi, Algeria

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

215

Lastpage

219

Abstract

This paper investigates fuzzy adaptive control of induction machine (IM) speed. The proposed controller consists of two parts: the first is classical fuzzy logic controller (FLC) constituted by fuzzy If-Then rules. The second part is adaptation mechanism, which adjusts the fuzzy controller parameters in order to minimize the error between the reference speed and the machine speed. The fuzzy adaptive controller (FAC) can be started without prior information on the machine, and can learn and tune rapidly the fuzzy controller rules to meet the desired performance, even when the machine parameters change. Simulation studies for various operating conditions show the superior performance of the FAC compared to PI controller.

Keywords

PI control; adaptive control; angular velocity control; asynchronous machines; fuzzy control; machine control; FAC; FLC; IM speed; PI controller; adaptation mechanism; classical fuzzy logic controller; fuzzy adaptive controller; fuzzy controller parameters; fuzzy if-then rules; induction machine speed control; reference speed; Adaptive control; Fuzzy logic; Induction machines; Mathematical model; Rotors; Stators; Torque; Fuzzy Logic Control; Fuzzy adaptive control; Induction Machine; Vector Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7099302