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The Induction Motor Parameter Estimation Using Genetic Algorithm
- 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