DocumentCode :
26921
Title :
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
Link To Document :
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