Fuzzy sliding mode control for a singularly perturbed systems

Author

Elshabrawy, A. ; Schwartz, Howard M.

Author_Institution

Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada

Volume

1

fYear

2004

fDate

27-30 June 2004

Firstpage

238

Abstract

Singular perturbation theory is found to be a good approach to obtain a reduced order model in large-scale systems which suffer from big dimension and ill conditions for its state matrix. This article presents the use of a single fuzzy sliding mode controller designed for the slow component of a singularly perturbed system. Choosing the sliding surface parameter for a sliding mode controller in this case is a challenging problem. A fuzzy logic algorithm is used to obtain a nonlinear sliding surface to obtain better-closed loop performance. The validity of the proposed approach is verified by example.

Keywords

closed loop systems; control system synthesis; fuzzy control; fuzzy logic; large-scale systems; matrix algebra; perturbation techniques; reduced order systems; variable structure systems; closed loop performance; control system synthesis; fuzzy logic algorithm; fuzzy sliding mode control; large scale systems; nonlinear sliding surface; reduced order model; singular perturbation theory; sliding surface parameters; state matrix; Closed loop systems; Control systems; Frequency; Fuzzy control; Fuzzy logic; Fuzzy systems; Large-scale systems; Nonlinear control systems; Reduced order systems; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the

Print_ISBN

0-7803-8376-1

Type

conf

DOI

10.1109/NAFIPS.2004.1336284

Filename

1336284