Optimization of Synchronous Electric Motors with Asynchronous Start by Genetic Algorithms

Flur Ismagilov; Vyacheslav Vavilov; Ruslan Urazbakhtin

doi:10.15866/irease.v11i2.13365

Optimization of Synchronous Electric Motors with Asynchronous Start by Genetic Algorithms

Flur Ismagilov⁽¹⁾, Vyacheslav Vavilov^(2*), Ruslan Urazbakhtin⁽³⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/irease.v11i2.13365

Abstract

In this article, the authors offer a new optimization algorithm for the LSPMSM based on genetic algorithms, as well as the methods for their implementation for the design of electrical machines. With this algorithm, 7 different topologies of the LSPMSM with fixed frequency, network frequency and supply voltage were simultaneously optimized. As a result, about 6000 different combinations of geometric sizes and various topologies of the LSPMSM were considered. After this, two optimal topologies with optimal geometric dimensions for input conditions were identified. The topology data were calculated using FEMM methods and a model of one of them was created.
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Keywords

Line Start Permanent Magnet Synchronous Motor (LSPMSM); Genetic Algorithms; Electric Motors on Board Aircraft; FEMM Methods

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References

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