Optimization of 20kVA, 3-Phase Induction Motor using Genetic Algorithm

Authors

  • Abdulraheem T.  Power Equipment and Electrical Machinery Development Institute, P.M.B 1029, Okene, Kogi State, Nigeria
  • Asaolu G. O.  Power Equipment and Electrical Machinery Development Institute, P.M.B 1029, Okene, Kogi State, Nigeria
  • Oladele T. A.  Power Equipment and Electrical Machinery Development Institute, P.M.B 1029, Okene, Kogi State, Nigeria
  • Bamiduro H. A.  Power Equipment and Electrical Machinery Development Institute, P.M.B 1029, Okene, Kogi State, Nigeria
  • Ezeah J. U.  Power Equipment and Electrical Machinery Development Institute, P.M.B 1029, Okene, Kogi State, Nigeria

Keywords:

Genetic Algorithm, Losses, MATLAB, optimization, Squirrel Cage.

Abstract

This work optimizes the copper and iron losses in a 20kVA, 4 Pole, 3- phase, 50Hz squirrel cage inductor motor using genetic algorithm. Losses optimization selects the optimal values of the design variables which gives the least losses. Ten design variables were used in optimization process. The optimization was implemented using MATLAB software. The result shows that using the analytical method (without optimization), the losses was 710 W. But with the use of genetic algorithm to optimize the design, the losses were reduced to 642W. A comparison of these two methods shows a 9.6% decrease in losses with the use of optimization, resulting into an increase in efficiency.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-02-28

Issue

Volume 3, Issue 1, January-February-2017

Section

Research Articles

License

Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Abdulraheem T., Asaolu G. O., Oladele T. A., Bamiduro H. A., Ezeah J. U., " Optimization of 20kVA, 3-Phase Induction Motor using Genetic Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 1, pp.151-154, January-February-2017.