Artificial Neural Networks and fuzzy logic based control of AC motors

In this paper, speed controller based on artificial neural networks ANN and fuzzy logic controller FLC for vector control of AC motors is used. In the case using ANN controller, the tracking of the rotor speed is realized by adjusting the new weights of the network depending on the difference between the actual speed and the command speed. The controller is an adaptive and based on a nonlinear autoregressive moving average (NARMA-L2). Mamdani type of FLC will be used for speed control. Simple membership functions for three linguistic variables are used. A comparative study between the proposed controllers and the conventional PI one will be presented and will show the advantages of the proposed solution over the conventional one. Computer simulation results are carried out.