유도전동기의 고성능 속도제어를 위한 하이브리드 FNN 제어기 개발

The indirect field-oriented method of induction motor drive is generally implemented by the fixed gain PI controller because of its simple design technique. The performance of fixed gain PI controller may be well under some operating conditions, but not all desired operating conditions. This paper is proposed self tuning and adaption learning controller for high performance and robust control of induction motor drive. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. This paper is proposed high performance control of induction motor drive using hybrid fuzzy neural network(HFNN). The performance of proposed controller was demonstrated through response results. The results confirm that the proposed controller is high performance and robust under the variation of load torque and parameters.