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The Induction Motor Parameter Estimation Using Genetic Algorithm

Authors :
Alex Palma Francisco Coelho
Vitor Hugo Ferreira
Marcio Zamboti Fortes
Source :
IEEE Latin America Transactions. 11:1273-1278
Publication Year :
2013
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2013.

Abstract

This paper presents a method to estimate electrical parameters in a three-phase induction motor (MIT) equivalent circuit, using genetic algorithm (GA). This method is applied in a MATLAB® Simulink environment. The methodology consist in minimize objective function to represent the estimated current error with GA. The stator current versus slip curve is a simulation result and it will be used to estimate electrical parameters of equivalent circuit. In this work two different theory MIT model are considered Chapman[1] and Wildi [2]. The goal is define the better current versus slip estimate curve for each model and to determine which one has the best motor simulate representation.

Details

ISSN :
15480992
Volume :
11
Database :
OpenAIRE
Journal :
IEEE Latin America Transactions
Accession number :
edsair.doi...........262fb13e2a9b4d48a2e4153f56f257b5