Neuro-Fuzzy Versus PI Speed Loop for a Vector Control Based Electrical Drive System with Asynchronous Motor

A neuro-fuzzy controller for the speed loop of a vector control based structure for an asynchronous motor is synthesized by ANFIS method. Various training and operating conditions are considered for the neuro-fuzzy speed controller, the results being analyzed comparatively with the standard vector control system. The independent and combined influence of the motor parameters, load torque, sampling period and operating conditions are taking into account performing various simulations on model.