A Novel Nonlinear PID Controller Designed By Takagi-Sugeno Fuzzy Model

Author

Xiu, Zhihong ; Wang, Wei

Author_Institution

Res. Center of Inf. & Control, Dalian Univ. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3724

Lastpage

3728

Abstract

TS-PID fuzzy controller is proposed as a novel framework for nonlinear PID controller design in this paper. The so-called TS-PID fuzzy controllers are a class of Takagi-Sugeno (TS) fuzzy controllers whose rule consequences employ PID expressions. Based on Lyapunov theory, a design and stability analysis method of TS-PID fuzzy controllers is presented. This approach utilizes some analytical techniques of linear control theory to analyze and design a TS-PID fuzzy controller. The simulation results of a nonlinear mass-spring-damper system show that the performance of a TS-PID fuzzy controller is better than that of the conventional TS fuzzy controller

Keywords

Lyapunov methods; control system analysis; control system synthesis; fuzzy control; nonlinear control systems; stability; three-term control; Lyapunov theory; TS-PID fuzzy controller; Takagi-Sugeno fuzzy model; control system analysis; control system design; fuzzy control; nonlinear PID controller design; stability analysis; Control systems; Design methodology; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Nonlinear control systems; Optimal control; Stability analysis; Takagi-Sugeno model; Three-term control; Fuzzy control; TS-PID fuzzy controller; analytical design; nonlinear PID controller; stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713066

Filename

1713066