Estimação dos Parâmetros de Motores de Indução utilizando Algoritmos Genéticos
(The Induction Motor Parameter Estimation Using Genetic Algorithm)
Márcio Zamboti Fortes (firstname.lastname@example.org), Vitor Hugo Ferreira (email@example.com), Alex Palma Francisco Coelho (firstname.lastname@example.org)
Universidade Federal Fluminense
This paper appears in: Revista IEEE América Latina
Publication Date: Sept. 2013
Volume: 11, Issue: 5
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 and Wildi . 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.
Genetic Algorithms, Parameters Estimation, Induction Motors, Computational Intelligence.
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