中国电气工程学报（英文） ›› 2023, Vol. 9 ›› Issue (2): 57-70.doi: 10.23919/CJEE.2023.000006

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  • 收稿日期:2022-01-11 修回日期:2022-04-05 接受日期:2022-05-05 出版日期:2023-06-25 发布日期:2023-06-28

Vibration and Noise Optimization of New Asymmetric Modular PMaSynRM

Guohai Liu, Akang Gao, Qian Chen*, Yanxin Mao, Gaohong Xu   

  1. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
  • Received:2022-01-11 Revised:2022-04-05 Accepted:2022-05-05 Online:2023-06-25 Published:2023-06-28
  • Contact: *E-mail: chenqian0501@ujs.edu.cn
  • About author:Guohai Liu (M’07-SM’15) received the B.Sc. degree from Jiangsu University, Zhenjiang, China, in 1985, and the M.Sc. and Ph.D. degrees from Southeast University, Nanjing, China, in 1988 and 2002, respectively, in Electrical Engineering and Control Engineering. He has been with Jiangsu University since 1988, where he is currently a Professor in the School of Electrical and Information Engineering. From 2003 to 2004, he was a Visiting Professor with the Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UK. His teaching and research interests include electrical machines, motor drives for electric vehicles and intelligent control. He has authored or co-authored over 200 technical papers and 4 textbooks, and holds 30 patents in these areas.
    Akang Gao received his B.Sc. degree in Electrical Engineering from Jiangsu University, Zhenjiang, China, in 2019. And he is currently working toward the M.Sc. degree in Electrical Engineering, Jiangsu University, Zhenjiang, China. His research interests include the optimization design and vibration noise simulation of permanent-magnet machines.
    Qian Chen (M’16-SM’20) received the B.Sc. and Ph.D. degrees from Jiangsu University, Zhenjiang, China, in 2009 and 2015, respectively, in Electrical Engineering and Control Engineering. He has been with Jiangsu University since 2015, where he is currently a Professor in the School of Electrical and Information Engineering. His current research interests include electric machine design, modeling, fault analysis, and intelligent control.
    Yanxin Mao received the M.Sc. degree from Wuhan Institute Physics and Mathematics, Chinese Academy of Sciences, China, in 2004, and the Ph.D. degree from Jiangsu University, China, in 2018. Since 2004, she has been with the School of Electrical and Information Engineering, Jiangsu University, where she is currently an Associate Professor. Her research interest is vibration and acoustic noise of permanent magnet machines.
    Gaohong Xu received B.Sc., M.Sc., and Ph.D. degrees from Jiangsu University, Zhenjiang, China, in 2009, 2011 and 2018, respectively, in Electrical Engineering. She has been with Jiangsu University since 2018, where she is currently a Lecturer in School of Electrical and Information Engineering. Her current research interests include computation of electromagnetic fields for permanent-magnet machine and electric machine design.

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Abstract: An optimized structure to weaken the vibration and noise of a new asymmetric permanent magnet-assisted synchronous reluctance motor (PMaSynRM) is proposed. The new asymmetric PMaSynRM has the advantages of a low torque ripple and high fault tolerance. However, the asymmetric structure generates an unbalanced magnetic force (UMF), which results in vibration and noise problems. In this study, the vibration and noise of the motor are analyzed and optimized. First, the radial pressure is analyzed, and an optimized structure is proposed. The electromagnetic performance of the motor before and after optimization is analyzed using the finite element method. Second, a three-dimensional model is established, and modal analysis is conducted considering the orthotropy of the stator and effective windings. Finally, the vibration and noise are simulated and analyzed, and the validity of the analysis results is verified experimentally. The analysis results indicate that the optimized motor realizes a reduction in the motor vibration and noise.

Key words: Modular motor, asymmetric structure, modal analysis, vibration and noise analysis, unbalanced magnetic force