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
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;
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
DOI :
10.1109/CCDC.2009.5195298
