DC 서보 모터를 위한 퍼지 뉴럴 네트워크 제어기 설계

Design o f Fuzzv-Neural Netwoik Controller for D C Servo M otor

Motor-control technology has been developed very differently. However, the internal uncertainty and disturbance is reduced by the control performance. Conventional sliding-mode technique was used. However, the control input has the disadvantage caused by the chattering. In this paper, fiizzy-neural network controller is proposed for model uncertainty of a DC servo motor. The proposed controller model uncertainty, disturbances, and friction are included. Uncertainty components were approximated Using fuzzy neural network. The fuzzy neural network weights of the connections between objects that were automatically granted. The proposed controller performance by computer simulation proved for position control of DC motors. The simulation results show that the controller components were estimated uncertainty of the unknown.