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

Volume

3

fYear

2000

fDate

2000

Firstpage

1686

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE

Conference_Location

Nagoya

Print_ISBN

0-7803-6456-2

Type

conf

DOI

10.1109/IECON.2000.972529

Filename

972529