Robust fuzzy control for Uncertain Nonlinear System based on multi-objective optimization

Author

Wan-Jun, Hao ; Yan-Hui, Qiao ; Xue-Li, Zhu ; Zhi, Wu Yong ; Ze, Li

Author_Institution

Suzhou Univ. of Sci. & Technol., Suzhou, China

fYear

2012

fDate

23-25 May 2012

Firstpage

1297

Lastpage

1300

Abstract

This paper deals with the problem of robust control for Uncertain Nonlinear System via fuzzy control approach. First, a fuzzy controller with robust control capability is proposed. For avoiding complex controller parameters adjustment, Multi-objective particle swarm Optimization (PSO) algorithm is adopted during the controller design. Secondly, the multi-model is employed to represent the nonlinear system with norm-bounded parameter uncertainties. Finally, a simulation example illustrates the effectiveness and the feasibility of the proposed approach.

Keywords

control system synthesis; fuzzy control; nonlinear control systems; particle swarm optimisation; robust control; uncertain systems; PSO algorithm; controller design; multiobjective particle swarm optimization algorithm; nonlinear system; norm-bounded parameter uncertainties; robust fuzzy control capability; uncertain nonlinear system; Control systems; Fuzzy control; Heuristic algorithms; Load modeling; Optimization; Particle swarm optimization; Robustness; Fuzzy Control; Multi-objective Optimization; Robust Performance; Uncertain Nonlinear System;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244207

Filename

6244207