PERFORMANCE EVALUATION OF A SENSORLESS INDUCTION MOTOR DRIVE USING A MRAS SPEED OBSERVER

This paper presents Self-Tuning Fuzzy Logic Controller for sensorless vector controlled induction motor drives. When induction motor is continuously used long time, its electrical and mechanical parameters will change, which degrade the performance of PI controller considerably. This paper uses a Self-Tuning Fuzzy Logic Controller to improve the control performance.Here; the output gain of the controller is adjusted on-line by fuzzy rules according to the current trend of the controlled process. Tuning of the output gain has been given the highest priority because of its strong influence on the performance and stability of the system. For sensorless vector control, the rotor speed is estimated using Model Reference Adaptive System (MRAS). Simulations have been performed in the Matlab-Simulink. At the end of the paper some simulation results are provided to demonstrate the validity of proposed method.