Loading…

A Process to Reduce the Electromagnetic Vibration by Reducing the Spatial Harmonics of Air Gap Magnetic Flux Density

In this article, a process for reducing the electromagnetic vibration and noise by changing the shape of the stator is presented. Although the fundamental wave of the air gap magnetic flux density contributes to the average torque of the motor, other spatial harmonics which were except the fundament...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on magnetics 2021-02, Vol.57 (2), p.1-6
Main Authors: Yang, In-Jun, Lee, Seung-Hyeon, Lee, Kang-Been, Lee, Ju, Kim, Won-Ho, Jang, Ik-Sang
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article, a process for reducing the electromagnetic vibration and noise by changing the shape of the stator is presented. Although the fundamental wave of the air gap magnetic flux density contributes to the average torque of the motor, other spatial harmonics which were except the fundamental wave of that cause vibration and enfeeble the output of the motor. Therefore, it is important to reduce the spatial harmonics for performance of the motor. Through the proposed process, it is possible to obtain an objective function to reduce the specific harmonics by assigning weights to each spatial harmonic. The reduction in the fundamental wave is minimized and it is possible to reduce the spatial harmonics that have an adverse impact on vibration. After the process, a model can be found that maintains the electromagnetic performance as much as possible while optimally reducing the vibration. To verify the process, the electromagnetic vibrations by a radial force of the proposed and conventional models were compared, and it was confirmed that the electromagnetic vibration of the proposed model was reduced. The validity of the analysis was proved through finite-element analysis.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2020.3022844