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


Abdulraheem T., Asaolu G. O., Oladele T. A., Bamiduro H. A., Ezeah J. U.
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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.

Abdulraheem T., Asaolu G. O., Oladele T. A., Bamiduro H. A., Ezeah J. U.

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

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Publication Details

Published in : Volume 3 | Issue 1 | January-February - 2017
Date of Publication Print ISSN Online ISSN
2017-02-28 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
151-154 IJSRSET173129   Technoscience Academy

Cite This Article

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.
URL : http://ijsrset.com/IJSRSET173129.php