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Optimal Design Method of Quantization of Membership Function and Rule Base of Fuzzy Logic Controller using the Genetic Algorithm  

Chung Sung-Boo (서일대학 컴퓨터응용전자)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.9, no.3, 2005 , pp. 676-683 More about this Journal
Abstract
In this paper, we proposed a method that optimal values of fuzzy control rule base and quantization of membership function are searched by genetic algorithm. Proposed method searched the optimal values of membership function and control rules using genetic algorithm by off-line. Then fuzzy controller operates using these values by on-line. Proposed fuzzy control system is optimized the control rule base and membership function by genetic algorithm without expert's knowledge. We investigated proposed method through simulation and experiment using DC motor and one link manipulator, and confirmed the following usefulness.
Keywords
Zigbee; Sensor Network;
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