Adaptive Fuzzy Control System Design

• Main Authors: Huang, Bing-Chyi, 黃柄圻
• Other Authors: Wong, Ching-Chang
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/26985233531754948858

碩士 === 淡江大學 === 電機工程學系 === 85 === To control various nonlinear systems, the fazzy controller is the most popular metho recently. However, the designs of fuzzy systems depend on knowledge acquisition by experience of domain experts and adjust rule base and membership function by design engineers. The method will spend much time and the performance of the controlled system can not be guaranteed to achieve optimal result. Therefore, we propose direct adaptive fuzzy control system and indirect adaptive fuzzy control system to improve the disadvantages of traditional fuzzy system. Simply speaking, the designed method of direct adaptive fuzzy control system generates a control command from the single fuzzy controller, then feed it back the plant. The designed method of indirect adaptive fuzzy control system is modeling the plant from a number of fuzzy systems at first, then it generates a control command by the dynamic character which will feed it back the plant. Whatever which types of adaptive fuzzy controller, they have the adaptive law of center regulation or rule regulation on line, respectively. The adaptive law not only can overcome the defect of genetic algorithms and simulated annealing which are unable to find the optimal membership function and rule base on line, but also the results of the controlled system will not be influenced, even the plant has many uncertainties, such as the suddenly change of parameters or the external disturbance. Further, we use a few parameter to design the adaptive law in order to reduce the complex of mathematical deduction and increase the speed of computing. Therefore, the fuzzy system becomes more practical and robust.