IEEE Open Journal of Industry Applications (Jan 2023)

Investigation of Resonance Avoidance Method for Vacuum Cleaner

  • Woong Hwang,
  • Jimin Kim,
  • Jihoon Han,
  • Wonsoo Kang,
  • Sunghyuk Park

DOI
https://doi.org/10.1109/OJIA.2023.3323343
Journal volume & issue
Vol. 4
pp. 328 – 335

Abstract

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Electromagnetic resonance in electric motors arises when the electromagnetic force frequency coincides with any of the motor's natural frequencies, causing excessive vibration and noise. To address this issue, it is crucial to design motors such that their natural frequencies do not closely align with the electromagnetic force frequency. However, vacuum cleaner motors operate across a broad range of speeds, generating a multitude of electromagnetic force frequencies, which makes it challenging to establish natural frequencies that can avoid all possible electromagnetic resonances. This article presents a novel approach for shifting natural frequencies by adjusting the stiffness of stator cores. By integrating an auxiliary component with various design factors into the motor, a range of natural frequencies can be achieved. An optimal natural frequency that mitigates electromagnetic resonance was identified among these modified frequencies, and the subsequent enhancement in acoustic characteristics was demonstrated.

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