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Math. Comput. Appl. 2006, 11(3), 193-203; doi: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
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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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MDPI and ACS Style

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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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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