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

被引：25

作者：

Knypinski, Lukasz ^{[1
]}

Paweloszek, Karol ^{[1
]}

Le Menach, Yvonnick ^{[2
]}

机构：

[1] Poznan Univ Tech, Inst Elect Engn & Elect, Piotrowo 3A, PL-60965 Poznan, Poland

[2] Univ Lille, Lab Elect Engn & Power Elect L2EP, F-59655 Villeneuve Dascq, France

来源：

ENERGIES | 2020年 / 13卷 / 05期

关键词：

line-start permanent magnet synchronous motor; optimal design; metaheuritsic algorithm; gray wolf optimization method; efficiency; DESIGN;

D O I：

10.3390/en13051186

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：11

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