Tracking control of nonlinear systems by fuzzy model-based controller

Author

Kung, Chung-Chun ; Li, Hui-Huang

Author_Institution

Dept. of Electron. Eng., Tatung Inst. of Technol., Taipei, Taiwan

Volume

2

fYear

1997

fDate

1-5 Jul 1997

Firstpage

623

Abstract

Fuzzy controllers have been successfully applied in many cases to which conventional control algorithms are difficult to be applied. Recently, it was proven that fuzzy systems are capable of approximating any real continuous function to arbitrary accuracy. This result motivates us to use the fuzzy systems as identifiers for nonlinear dynamic systems, and then design the fuzzy controllers based on the fuzzy system. There are two main objectives in this paper. (1) We use the Takagi and Sugeno´s fuzzy models (1985) as an identifier for nonlinear dynamic systems, and derive the identification algorithm. (2) The fuzzy model-based controller design method for tracking control is proposed based on this fuzzy system. Simulation results show that the identification algorithm exhibits good performance and the fuzzy model-based controllers could perform successful tracking ability

Keywords

control system synthesis; fuzzy control; nonlinear control systems; nonlinear dynamical systems; tracking; fuzzy model-based controller design method; nonlinear dynamic system identification; tracking control; Control system synthesis; Control systems; Design methodology; Fuzzy control; Fuzzy sets; Fuzzy systems; Mathematical model; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.622784

Filename

622784