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Estimation of the parameters for multi-cage models of induction motors using manufacturer data and PSO
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Journal Article
Estimation of the parameters for multi-cage models of induction motors using manufacturer data and PSO
2024
Overview
This paper presents a new method to estimate the parameters of multi-cage models of induction motors using only the information provided by manufacturers available in technical data sheets. The parameters are obtained through the solution of an optimization problem solved through the particle swarm optimization algorithm. We tested and validated the model using models with two, three, four, and five cages in the rotor. Besides, experimental results of 200 induction motors with power ranging from 22 to 90 kW proved that the method provides reliable estimates of the parameters that can correctly reproduce both the dynamic and steady-state behavior of induction motors. The accurate knowledge of the estimated parameters is essential to several control schemes, particularly those based on vector field orientation.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
Subject
