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  • Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Association for Scientific Research (ASR).
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1 December 2006

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

and
1
Department of Electronics and Computer Education, Selçuk University, Konya, 42075, TURKEY
2
Department of Electrical and Electronics Engineering, Selçuk University, Konya, 42031, TURKEY
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Author to whom correspondence should be addressed.

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.

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