Optimizing design variables for high efficiency induction motor considering cost effect by using genetic algorithm

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Abstract

The characteristics of an induction motor vary with the number of parameters and theperformance relationship between the parameters also is implicit. In case of the induction motordesign, we generally should estimate many objective physical quantities in the optimization procedure.In this article, the multi objective design optimization based on genetic algorithm is applied for thethree phase induction motor. The efficiency, starting torque, and material cost are selected for theobjectives. The validity of the design results is also clarified by comparison between calculated resultsand measured ones.

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Han, P. W., Seo, U. J., Choi, J. H., Chun, Y. D., Koo, D. H., & Lee, J. (2012). Optimizing design variables for high efficiency induction motor considering cost effect by using genetic algorithm. Journal of Electrical Engineering and Technology, 7(6), 948–953. https://doi.org/10.5370/JEET.2012.7.6.948

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