DocumentCode
2845710
Title
Study of the fuzzy PID control based on genetic algorithm
Author
Guohuan, Lou ; Hongbin, Wu
Author_Institution
Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China
fYear
2009
fDate
17-19 June 2009
Firstpage
6110
Lastpage
6112
Abstract
This paper presents an improved fuzzy PID controller in order to improve the control performance for complex systems, in which the normal PID controller is not suitable in such case. By using genetic algorithm to optimize the fuzzy control rules, the proportional, integral and differential gains of the PID controller are tuned online. Experimental results show that this method is effective.
Keywords
fuzzy control; genetic algorithms; large-scale systems; three-term control; PID control; complex systems control performance; fuzzy control; genetic algorithm; proportional, integral and differential gains; Automatic control; Control systems; Error correction; Fuzzy control; Fuzzy systems; Genetic algorithms; Industrial control; Mathematical model; Process control; Three-term control; PID; fuzzy control; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195298
Filename
5195298
Link To Document