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Determination of induction motor parameters with differential evolution algorithm

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Abstract

In this study, the determination of equivalent circuit parameters of induction motors is carried out with differential evolution algorithm (DEA) and genetic algorithm (GA). As an objective function in the algorithms, the sum torque error at zero speed, pull-out, and rated speed is used. The determination of equivalent circuit parameters is performed with three induction motors of 2.2, 5.5, and 37 kW. In particular, the search ability of DEA is compared with GA by using the same population size, number of iteration, and crossover rate. In addition, the effects of the obtained equivalent circuit parameters on induction motors characteristics are investigated and presented with graphics. The results show that the use of DEA instead of GA increases the convergence sensitivity and reduces the simulation time.

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Authors and Affiliations

  1. Technical Sciences Vocational School, Electrical Department, Selcuk University, Konya, Turkey

    Mustafa Arslan

  2. Faculty of Technical Education, Electronics and Computer Education, Selcuk University, 42003, Konya, Turkey

    Mehmet Çunkaş & Tahir Sağ

Authors
  1. Mustafa Arslan
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  2. Mehmet Çunkaş
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  3. Tahir Sağ
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Correspondence to Mehmet Çunkaş.

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Arslan, M., Çunkaş, M. & Sağ, T. Determination of induction motor parameters with differential evolution algorithm. Neural Comput & Applic 21, 1995–2004 (2012). https://doi.org/10.1007/s00521-011-0612-8

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  • DOI: https://doi.org/10.1007/s00521-011-0612-8

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