Artificial Intelligent Systems and Machine Learning

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


Affiliations
1 Electrical and Electronics Engineering Department, Pondicherry Engineering College, Puducherry-605014, India
2 Electrical and Electronics Engineering Department, Pondicherry Engineering College, Puducherry-605014, India
     

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Stator and rotor resistance variations occur during normal operation of Induction motors. The performance of a vector-controlled 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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  • FPGA Implementation of Neural Network Based On-Line Stator Resistance Estimator for Induction Motor Drives

Abstract Views: 220  |  PDF Views: 4

Authors

S. Himavathi
Electrical and Electronics Engineering Department, Pondicherry Engineering College, Puducherry-605014, India
A. Muthuramalingam
Electrical and Electronics Engineering Department, Pondicherry Engineering College, Puducherry-605014, India

Abstract


Stator and rotor resistance variations occur during normal operation of Induction motors. The performance of a vector-controlled 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.