Artificial Intelligence Sensorless Control of Induction Motor

In this paper a sensorless vector control system of induction motor using artificial intelligence is presented. The ANN and fuzzy logic solutions are discussed. A feed forward ANN with one input, two units in the hidden layer and one output is used for the speed 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. A comparative study between the proposed controller and the conventional PI one will be presented and will show promising results. Also comparison between the conventional PI and fuzzy logic controllers will be shown. The rotor speed tracks the command one smoothly and rapidly, without overshoot and with very-small steady state error. Computer simulation results are carried out.