Title :
Optimization design of TS-PID fuzzy controllers based on genetic algorithms
Author :
Xiu, Zhihong ; Ren, Guang
Author_Institution :
Marine Eng. Coll., Dalian Maritime Univ., China
Abstract :
TS-PID fuzzy controllers are a class of Tagagi-Sugeno (TS) fuzzy controllers whose rule consequences employ PID expressions. The analytical model of typical TS-PID fuzzy controllers is proposed in this paper. It can be used to develop a fast and precise control algorithm in both optimal design and practical use. The essential character of a typical TS-PID fuzzy controller is investigated to be a nonlinear PID controller. Based on genetic algorithms (GA´s), an optimal design method of TS-PID fuzzy controllers is discussed in detail by means of the analytical model. The simulation results of a marine control system show that a TS-PID fuzzy controller designed via GA´s has a good performance.
Keywords :
control system synthesis; fuzzy control; genetic algorithms; marine systems; nonlinear control systems; three-term control; PID expressions; Tagagi-Sugeno PID fuzzy controllers; analytical model; genetic algorithms; marine control system; nonlinear PID controller design; optimal design method; Algorithm design and analysis; Analytical models; Control system synthesis; Design methodology; Design optimization; Fuzzy control; Fuzzy systems; Genetic algorithms; Optimal control; Three-term control;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342040
