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Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 05 Mar 2020Publisher:MDPI AGJournal:Energies, volume 13, page 1,186 (eissn: 1996-1073,

Authors: Łukasz Knypiński; Karol Pawełoszek; Yvonnick Le Menach;

doi: 10.3390/en13051186

Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm

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Abstract

The paper presents the optimization method and computer software for the design of a low-power line-start permanent magnet synchronous motor (LSPMSM). The in-house-developed computer software was created with two independent modules: (a) the optimization procedure and (b) the numerical model of the motor. The optimization procedure used was a metaheuristic optimization method based on the gray wolf algorithm. Four design variables linked to the rotor structure were selected. The optimization process was performed from the rotor of a low-power induction motor (IM). The prototype of the motor (LSPMSM) was then built. The experimental measurements were performed for base the IM and optimized LSPMSM. The results of the measurements were compared for both motors. The experimental results confirmed the better performance of the designed motor in comparison to the induction motor.

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Keywords

Technology, metaheuritsic algorithm, gray wolf optimization method, efficiency, T, line-start permanent magnet synchronous motor, optimal design

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	14
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%