Hierarchical genetic fuzzy controller for a solar power plant

Author

Ke, J.Y. ; Tang, K.S. ; Man, K.F. ; Luk, P.C.K.

Author_Institution

Dept. of Electron. Eng., City Polytech. of Hong Kong, Kowloon, Hong Kong

Volume

2

fYear

1998

fDate

7-10 Jul 1998

Firstpage

584

Abstract

To regulate the significant variations of the dynamic characteristics of the distributed collector field in a solar power plant, in this paper, a unique hierarchical genetic algorithm (HGA) has been employed for the design and optimization of the fuzzy logic controller for this purpose. This method not only fulfils the required performance, but also minimises the number of fuzzy membership functions and rules applied. This can be a valued asset for the design of a simple hardware implementable fuzzy controller

Keywords

control system synthesis; fuzzy control; genetic algorithms; power station control; solar power stations; distributed collector field; fuzzy logic controller design; fuzzy membership functions minimisation; fuzzy rules minimisation; hardware implementable fuzzy controller; hierarchical genetic fuzzy controller; solar power plant; Algorithm design and analysis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Petroleum; Power engineering and energy; Solar energy; Solar power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on

Conference_Location

Pretoria

Print_ISBN

0-7803-4756-0

Type

conf

DOI

10.1109/ISIE.1998.711667

Filename

711667