Title :
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
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;
Conference_Titel :
Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on
Conference_Location :
Pretoria
Print_ISBN :
0-7803-4756-0
DOI :
10.1109/ISIE.1998.711667
