Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
Title Design of Neuro-Fuzzy Controller for Speed Control Applied to DC Servo Motor
Authors 김상훈(Kim, Sang-Hoon) ; 강영호(Kang, Young-Ho) ; 고봉운(Ko, Bong-Woon) ; 김낙교(Kim, Lark-Kyo)
Page pp.48-54
ISSN 1975-8359
Keywords DC servo motor ; fuzzy ; neural networks ; PID ; neuro-fuzzy
Abstract In this study, a neuro-fuzzy controller which has the characteristic of fuzzy control and artificial neural network is designed. A fuzzy rule to be applied is automatically selected by the allocated neurons. The neurons correspond to fuzzy rules are created by an expert. To adapt the more precise model is implemented by error back-propagation learning algorithm to adjust the link-weight of fuzzy membership function in the neuro-fuzzy controller. The more classified fuzzy rule is used to include the property of dual mode method. In order to verify the effectiveness of the proposed algorithm designed above, an operating characteristic of a DC servo motor with variable load is investigated.