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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2006, 11(3), 193-203; https://doi.org/10.3390/mca11020193

Design Optimization of Induction Motor by Genetic Algorithm and Comparison with Existing Motor

1
Department of Electronics and Computer Education, Selçuk University, Konya, 42075, TURKEY
2
Department of Electrical and Electronics Engineering, Selçuk University, Konya, 42031, TURKEY
*
Author to whom correspondence should be addressed.
Published: 1 December 2006
PDF [207 KB, uploaded 31 March 2016]

Abstract

This paper presents an optimal design method to optimize three-phase induction motor in manufacturing process. The optimally designed motor is compared with an existing motor having the same ratings. The Genetic Algorithm is used for optimization and three objective functions namely torque, efficiency, and cost are considered. The motor design procedure consists of a system of non-linear equations, which imposes induction motor characteristics, motor performance, magnetic stresses and thermal limits. Computer simulation results are given to show the effectiveness of the proposed design process.
Keywords: Design optimization; induction motor; genetic algorithm Design optimization; induction motor; genetic algorithm
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Çunkaş, M.; Akkaya, R. Design Optimization of Induction Motor by Genetic Algorithm and Comparison with Existing Motor. Math. Comput. Appl. 2006, 11, 193-203.

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