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   A Stator Resistance Estimator for Sensorless Vector Controlled Drives Using ANN   [View] 
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 Author(s)   M. Sumner; J. Campbell; M. Curtis 
 Abstract   This paper describes the use of an Artificial Neural Network (ANN) to provide an independent estimate of the stator resistance variation in an induction motor. The design and training of the ANN is outlined, and verification through simulation is described. The performance of the ANN is then compared to the performance of a stator resistance estimator which uses a simple first order curve fitting routine. Experimental results show that the ANN based system provides a superior resistance estimate. 
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Filename:EPE1999 - PP00740 - Sumner.pdf
Filesize:133.3 KB
 Type   Members Only 
 Date   Last modified 2004-04-07 by System