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Sensorless Vector Controlled Induction Machine in Field Weakening Region: Comparing MRAS and ANN-Based Speed Estimators
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 Title & Authors
Sensorless Vector Controlled Induction Machine in Field Weakening Region: Comparing MRAS and ANN-Based Speed Estimators
Moulahoum, Samir; Touhami, Omar;
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 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;
 Language
English
 Cited by
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Behaviour Analysis of Self Excited Induction Generator Feeding Linear and No Linear Loads,;;

Journal of Electrical Engineering and Technology, 2013. vol.8. 6, pp.1371-1379 crossref(new window)
1.
Behaviour Analysis of Self Excited Induction Generator Feeding Linear and No Linear Loads, Journal of Electrical Engineering and Technology, 2013, 8, 6, 1371  crossref(new windwow)
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