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FPGA Implementation of Neural Network Based On-line Stator Resistance Estimator for Induction Motor Drives

Dr. S. Himavathi, Dr. A. Muthuramalingam

Abstract


Stator and rotor resistance variations occur during normal operation of Induction motors. The performance of a vectorcontrolled drive to a large extent depends on the accuracy of estimated flux, which in turn depends on estimation of rotor and stator resistance. This paper presents a neural based online method for estimation of stator resistance for indirect vector controlled drives. The neural based estimator is implemented using FPGA and tested using Icv400hq240-5.The results obtained are presented.


Keywords


Stator resistance estimators, Neural based estimators, FPGA implementation.

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References


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