INDUCTION MOTOR EFFICIENT OPTIMIZATION CONTROL BASED ON NEURAL NETWORK

This paper focuses on increasing efficiency in a three phase induction motor. Induction motor which work below its rated torque, cause core loss to increase. Decreasing the induced rotor flux will decrease the core loss. In this paper a feed forward neural network is used with field oriented control. Training the network depends on Induction Motor (IM) loss model which computes the proper rotor flux value. This model minimizes IM total losses to a certain value of torque and speed. The neural network model presented in this paper calculates the optimal flux quickly. According to results of this paper, presented method has a high accuracy for various loads.