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The Optimizing of Fuzzy Control Rule Based on Particle Swarm Optimization Algorithms

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3 Author(s)
Sun Wei ; Sch. of Inf. & Electr. Eng., CUMT, Xuzhou, China ; Mingming Liu ; Yongbao Song

The selection of fuzzy control rule is one of the keys in fuzzy controller's design. The article introduces particle swarm optimization (PSO) algorithms optimizing fuzzy control rule in details, and applies the optimized rule to design fuzzy controller. The result of simulation shows that applying PSO to optimize fuzzy control rule is feasible and effective. It enlarges the application scope of PSO algorithms and provides a new way to design fuzzy controller.

Published in:

Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on

Date of Conference:

14-17 Oct. 2009