Estimação dos Parâmetros de Motores de Indução utilizando Algoritmos Genéticos
(The Induction Motor Parameter Estimation Using Genetic Algorithm)
Márcio Zamboti Fortes (mzf@vm.uff.br), Vitor Hugo Ferreira (vitor@vm.uff.br), Alex Palma Francisco Coelho (coelho.palma@gmail.com)
Universidade Federal Fluminense
This paper appears in: Revista IEEE América Latina
Publication Date: Sept. 2013
Volume: 11, Issue: 5
ISSN: 15480992
Abstract:
This paper presents a method to estimate electrical parameters in a threephase 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.
Index Terms:
Genetic Algorithms, Parameters Estimation, Induction Motors, Computational Intelligence.
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