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Starting performance optimization of high voltage line start permanent magnet synchronous motor based on Taguchi
Published:2017-11-15 author:ZHANG Bingyi1, FENG Yong1, FENG Gui hong1, ZHANG Yong sheng2, LIU Zhong qi2 Browse: 2804 Check PDF documents
Starting performance optimization of high voltage line start permanent magnet synchronous motor based on Taguchi
ZHANG Bing yi1, FENG Yong1, FENG Gui hong1, ZHANG Yong sheng2, LIU Zhong qi2
(1.School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China; 
2.Jingji Technology Co., Ltd., Jiaxing 314000, China)



Abstract: Aiming at the problems of long time low speed creep and large starting current in the starting process of high voltage line start permanent magnet synchronous motor (HV LS PMSM), the starting performance of HV LS PMSM was optimized by using the Taguchi method and the finite element method. The basic design parameters and the value levels of the rotor slot were obtained based on magnetic circuit method. Then the orthogonal table was established by Taguchi method, and the combination of factors was obtained. The finite element method was used to analyze different combinations, through that the starting performance parameters were obtained. Using the method of extreme difference analysis and variance analysis, the influence law and the proportion of the rotor slot parameters on the starting performance were analyzed, so as to get the optimal combination scheme of HV LS PMSM starting performance. And the starting process was tested on the platform. The results indicate that the Taguchi orthogonal method applies to HV LS PMSM design and optimization, which can reduce the times of analysis on the basis of the comprehensive analysis, and achieve the multiobjective optimization, and improve the starting performance. And the conclusions provide guidance for the design of HV LS PMSM.

Key words: high voltage line start permanent magnet synchronous motor; starting performance; Taguchi optimization; finite element analysis; extreme difference analysis; variance analysis
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