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

Łukasz Knypiński, Karol Pawełoszek and Yvonnick Le Menach
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Łukasz Knypiński: Institute of Electrical Engineering and Electronics, Poznan University of Technology, Piotrowo 3A, 60-965 Poznań, Poland
Karol Pawełoszek: Institute of Electrical Engineering and Electronics, Poznan University of Technology, Piotrowo 3A, 60-965 Poznań, Poland
Yvonnick Le Menach: Laboratory of Electrical Engineering and Power Electronics (L2EP), University of Lille, Bât. ESPRIT, 59655 Villeneuve d’Ascq, France

Energies, 2020, vol. 13, issue 5, 1-11

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.

Keywords: line-start permanent magnet synchronous motor; optimal design; metaheuritsic algorithm; gray wolf optimization method; efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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