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

Authors(5) :-Abdulraheem T., Asaolu G. O., Oladele T. A., Bamiduro H. A., Ezeah J. U.

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.

Authors and Affiliations

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

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 : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 151-154
Manuscript Number : IJSRSET173129
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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

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