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Losses Optimization of Induction Motor Using Genetic Algorithm

Tyo, Ternder Matthew and Airoboman, A.E and Amaize, Peter and Idiagi, Neville Simon (2016) Losses Optimization of Induction Motor Using Genetic Algorithm. International Journal of Engineering Sciences & Research Technology, 5 (2). pp. 644-648. ISSN 2277-9655

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Abstract

In this work, Genetic Algorithm (GA) has been used as an optimization technique to minimise the losses in an induction machine. It was been observed that the GAs locate the global optimum region faster than the conventional direct search optimization techniques. In this paper, the concept of GA was used as an optimization technique to minimize the losses in an electric machine thereby improving on the efficiency. The result shows an improvement in the machine’s efficiency from 90.3% to 94.3%.

Item Type: Article
Uncontrolled Keywords: Genetic Algorithm, Optimization, Losses, Performance.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 12 Jan 2018 08:46
Last Modified: 12 Jan 2018 08:46
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/9979

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