Fuzzy adaptive approach to nonlinear systems control

Author

Golea, Noureddine ; Golea, Amar ; Boumehrez, Mohamed ; Kadjoudj, Mohamed

Author_Institution

E.E. Inst., O.E.B Univ., Algeria

Volume

1

fYear

2001

fDate

2001

Firstpage

782

Abstract

We consider a direct fuzzy adaptive control of continuous-time nonlinear systems. The proposed adaptive scheme uses a Takagi-Sugeno (TS) fuzzy controller, which allows the inclusion of a priori information in terms of qualitative knowledge about the plant operating points or analytical conventional regulators for those operating points. The closed loop dynamic is proven to be asymptotically stable, and robust against external disturbance and approximation error. The proposed approach performance is evaluated on an induction motor control problem

Keywords

adaptive control; closed loop systems; continuous time systems; fuzzy control; induction motors; machine control; nonlinear control systems; Takagi-Sugeno fuzzy controller; analytical conventional regulators; approximation error; closed loop dynamic; continuous-time nonlinear systems; direct fuzzy adaptive control; external disturbance; induction motor control problem; nonlinear systems control; plant operating points; qualitative knowledge; robustness; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy systems; Information analysis; Nonlinear control systems; Nonlinear systems; Programmable control; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE

Conference_Location

Denver, CO

Print_ISBN

0-7803-7108-9

Type

conf

DOI

10.1109/IECON.2001.976714

Filename

976714