Speed Sensorless Vector Controlled Induction Machine in Flux Weakening Region

The aim of this paper is to examine iron losses and magnetic saturation effect in sensorless vector control of induction machines. First of all, an approach to induction machine modelling and vector control scheme, which account for both iron loss and saturation, is presented. Then, a model reference adaptive system (MRAS) speed estimator is developed. To improve the performance of the rotor speed estimation, particularly, in the flux weakening region, an artificial neural network (ANN) is used. The ANN flux estimator is substituted into the MRAS speed estimator. Experimental results are presented to verify the effectiveness of the proposed approach