The Induction Motor Parameter Estimation Using Genetic Algorithm

Author

Zamboti Fortes, Marcio ; Ferreira, V.H. ; Palma Francisco Coelho, Alex

Author_Institution

Univ. Fed. Fluminense (UFF), Niteroi, Brazil

Volume

11

Issue

5

fYear

2013

fDate

Sept. 2013

Firstpage

1273

Lastpage

1278

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.

Keywords

equivalent circuits; genetic algorithms; induction motors; parameter estimation; stators; MATLAB Simulink environment; current error estimation; electrical parameter estimation method; equivalent circuit; genetic algorithm; objective function; stator current versus slip curve; three phase induction motor; Adaptation models; Computational modeling; Genetic algorithms; Induction motors; Integrated circuit modeling; Mathematical model; Torque; Computational Intelligence; Genetic Algorithms; Induction Motors; Parameters Estimation;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2013.6684404

Filename

6684404