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Estimation of induction motor parameters: an overview


Affiliations
1 Professor at Department of Electrical Engineering, Dayalbagh Educational Institute, Dayalbagh, Agra, U.P., India
2 Research Scholar at Department of Electrical Engineering, Dayalbagh Educational Institute, Dayalbagh, Agra, U.P., India
3 Senior Research Fellow at Central Power Research Institute, Bangalore, India
     

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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.

Keywords

Induction motor, parameter estimation, soft computing techniques, ANN, Neuro-Fuzzy, GA, PSO
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  • Estimation of induction motor parameters: an overview

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Authors

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

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.

Keywords


Induction motor, parameter estimation, soft computing techniques, ANN, Neuro-Fuzzy, GA, PSO



DOI: https://doi.org/10.33686/prj.v10i4.189453