Title :
Optimization design method of fuzzy controller based on GA
Author :
Zong, Xiao-ping ; Kou, Yan-Jie
Author_Institution :
Intelligence control, Hebei Univ., Baoding, China
Abstract :
It is presented in this paper a comprehensive optimization design and simulation analysis method of the fuzzy controller. The method based on GA. Firstly, it uses fuzzy control system toolbox to construct a fuzzy controller, then it optimizes the control rules and parameters of the fuzzy controller by GA, finally, with the simulation linker, it builds an emulation model of a second-order system with delay and analyzes the dynamic characteristics of the whole system according to the step response. The simulation results show that the system can meet the target and design the fuzzy controller with high efficiency.
Keywords :
control system synthesis; delays; fuzzy control; genetic algorithms; emulation model; fuzzy control system toolbox; fuzzy controller; genetic algorithm; optimization design method; second-order system; simulation analysis method; Analytical models; Delay systems; Design methodology; Design optimization; Emulation; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Mathematical model; Fuzzy controller; Genetic algorithm; Matlab; Optimization design;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527066
