Estimation of induction motor parameters: an overview

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Published Dec 2, 2014
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Voumel 10, Issue 4, December 2014

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D. K. Chaturvedi
Professor at Department of Electrical Engineering, Dayalbagh Educational Institute, Dayalbagh, Agra, U.P.
Mayank Pratap Singh
Research Scholar at Department of Electrical Engineering, Dayalbagh Educational Institute, Dayalbagh, Agra, U.P.
Md. Sharif Iqbal
Research Scholar at Department of Electrical Engineering, Dayalbagh Educational Institute, Dayalbagh, Agra, U.P.
Vikas Pratap Singh
Senior Research Fellow at Central Power Research Institute, Bangalore

Abstract

The parameters of induction motor depends on various factors such as: machine internal state, machine ageing, magnetic saturation, operating conditions, the coupling effect between the internal system and external system. The paper deals with an overview of parameter estimation of three phase induction motor using different soft computing techniques. The soft computing techniques which are considered in the paper are fuzzy system, artificial neural network (ANN), Neuro-Fuzzy, genetic algorithms (GA) and particle swarm optimization (PSO). It is observed that the estimated parameter using soft computing techniques were much closer to actual value.

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How to Cite
Chaturvedi, D. K., Pratap Singh, M., Sharif Iqbal, M., & Pratap Singh, V. (2014). Estimation of induction motor parameters: an overview. Power Research - A Journal of CPRI, 755–764. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/775

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