Title :
Solar plant control using genetic fuzzy PID controller
Author :
Tang, K.S. ; Man, K.F. ; Chen, G.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Abstract :
This paper introduces an optimal fuzzy proportional-integral-derivative (PID) controller for a solar power plant. The fuzzy PID controller is a discrete-time version of the conventional PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient, self-tuned control gains. The constant PID control gains and other control parameters are optimized by using the multiobjective generic algorithm (GA), thereby yielding an optimal fuzzy PID controller
Keywords :
control system synthesis; discrete time systems; fuzzy control; genetic algorithms; optimal control; power station control; solar power stations; three-term control; control design; control parameters optimization; discrete-time control; genetic fuzzy PID controller; multiobjective generic algorithm; self-tuned control gains; solar power plant control; Analytical models; Cities and towns; Fuzzy control; Fuzzy logic; Genetics; Linear systems; Mirrors; Optimal control; Petroleum; Three-term control;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972529
