Title :
Fuzzy supervisory PI controller using hierarchical genetic algorithms
Author :
Worapradya, Kiatkajohn ; Pratishthananda, Suvalai
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
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;
Conference_Titel :
Control Conference, 2004. 5th Asian
Conference_Location :
Melbourne, Victoria, Australia
Print_ISBN :
0-7803-8873-9
