Sliding mode controller design based on fuzzy inference for nonlinear systems [power systems]

Author

Ishigame, Atsushi ; Furukawa, Tadashi ; Kawamoto, Shunji ; Taniguchi, Tsuneo

Author_Institution

Dept. of Electr. Eng., Osaka Univ., Sakai, Japan

Volume

40

Issue

1

fYear

1993

fDate

2/1/1993 12:00:00 AM

Firstpage

64

Lastpage

70

Abstract

Sliding-mode control can deal with nonlinearities of control systems and is robust. However, it has drawbacks, such as high control gain effect and control chattering. A method of nonlinear feedback control that introduces fuzzy interference into sliding-mode control, to treat nonlinearities and reduce chattering is proposed. The stability of the system is discussed using fuzzy stability theory based on Lyapunov´s direct method. The method is applied numerically to the stabilizing control of an electric power system, and is shown to give good results

Keywords

Lyapunov methods; fuzzy control; nonlinear control systems; power system control; power system stability; stability; variable structure systems; Lyapunov´s direct method; chattering; fuzzy inference; gain effect; nonlinear feedback control; nonlinear systems; power system; sliding-mode control; stability theory; Control nonlinearities; Control systems; Feedback control; Fuzzy control; Fuzzy systems; Interference; Nonlinear control systems; Power system stability; Robust control; Sliding mode control;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.184822

Filename

184822