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A Stator Resistance Estimator for Sensorless Vector Controlled Drives Using ANN
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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 |
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Type |
Members Only |
Date |
Last modified 2004-04-07 by System |
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