DocumentCode
433959
Title
Fuzzy supervisory PI controller using hierarchical genetic algorithms
Author
Worapradya, Kiatkajohn ; Pratishthananda, Suvalai
Author_Institution
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
Volume
3
fYear
2004
fDate
20-23 July 2004
Firstpage
1523
Abstract
This paper presents a fuzzy supervisory PI controller using a hierarchical genetic algorithm (HGA) which is an optimization algorithm used in defining the optimal number and shape of membership functions, and fuzzy rules. The fuzzy supervisory PI controller is designed and simulated on a heat exchanger system. Sum of square error and sum of absolute error are used as objective functions. Simulation results are compared with the PI controller using Astrom and Hagglund tuning. Improved performances can be noticed.
Keywords
PI control; control system synthesis; fuzzy control; genetic algorithms; Astrom tuning; Hagglund tuning; fuzzy rules; fuzzy supervisory PI controller; heat exchanger system; hierarchical genetic algorithms; membership functions; objective functions; optimization algorithm; sum of absolute error; sum of square error; Algorithm design and analysis; Biological cells; Fuzzy control; Fuzzy sets; Fuzzy systems; Genetic algorithms; Level control; Shape; Signal processing; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2004. 5th Asian
Conference_Location
Melbourne, Victoria, Australia
Print_ISBN
0-7803-8873-9
Type
conf
Filename
1426869
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