Study on the Genetic Algorithm and Application in the Fuzzy Controller Design

• Main Authors: Shean-Tay Yin, 尹顯泰
• Other Authors: Fan-Chu Kung
• Format: Others
• Language: en_US
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/15365588160186013398

碩士 === 國立成功大學 === 電機工程學系 === 87 === Fuzzy control has been applied to various industrial processes; however, its control rules and membership functions are usually obtained by trial-and-error. In this thesis, we first find various parameters of the optimization algorithm for efficiency by genetic algorithm. Next, we design for control rules simultaneously by a genetic algorithm (GA). GAs is search algorithms based on the mechanics of natural selection and natural genetics. They are easy to implement and efficient for multivariable optimization problems such as fuzzy controller design. The simulation result shows that the fuzzy controller thus designed can achieve a good performance merely by using a few fuzzy variables.