[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5370/JEET.2007.2.2.241

Sensorless Vector Controlled Induction Machine in Field Weakening Region: Comparing MRAS and ANN-Based Speed Estimators

Moulahoum, Samir (Dept. of Electrical Engineering, Yahia Fares University)
Touhami, Omar (Electrotechnical Research Laboratory, National Polytechnic School)

Publication Information

Journal of Electrical Engineering and Technology / v.2, no.2, 2007 , pp. 241-248 More about this Journal

Abstract

The accuracy of all the schemes that belong to vector controlled induction machine drives is strongly affected by parameter variations. The aim of this paper is to examine iron losses and magnetic saturation effect in sensorless vector control of induction machines. At first, 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) based speed estimator is developed. The speed estimation is modified in such a way that iron losses and the variation in the saturation level are compensated. Thus by substituting an artificial neural network flux estimator into the MRAS speed estimator. Experimental results are presented to verify the effectiveness of the proposed approach.

Keywords

ANN; Induction Machine; Iron Loss; MRAS; Sensorless Vector Control; Saturation;

Citations & Related Records

Reference

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