Analysis and design of electromagnetic vibration and noise reduction method of permanent magnet motor

Kai Hu, Guangming Zhang, Wenyi Zhang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Vibration and noise parameters have a significant influence on the performance of permanent magnet motor (PMM). A new method of reducing vibration and noise of PMM was proposed in this study by optimizing the stator teeth profile. The optimal offset distance was determined by finite element method, and the results indicate that the vibration and noise amplitude become larger when the frequency is an even multiple of the fundamental frequency. The maximum and average vibration acceleration of the optimized PMM is reduced by 22.27% and 11.11%, respectively, and the total sound pressure level (SPL) is decreased by 3.67%. Finally, the correctness of the theoretical parameters was verified by the vibration and noise measuring experiment. The experimental data suggest that the average acceleration error is 7.07%, and the average SPL error is 2.28%. The research methods and conclusions of this study may be extended to the vibration and noise optimization of other PMM.

Original languageEnglish
Pages (from-to)359-373
Number of pages15
JournalJournal of Low Frequency Noise Vibration and Active Control
Volume41
Issue number1
DOIs
StatePublished - Mar 2022

Keywords

  • Permanent magnet motor
  • modal analysis
  • radial electromagnetic force
  • sound pressure level
  • vibration acceleration
  • vibration and noise reduction

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