• DocumentCode
    1401625
  • Title

    Analytical Model for Predicting Maximum Reduction Levels of Vibration and Noise in Switched Reluctance Machine by Active Vibration Cancellation

  • Author

    Zhu, Z.Q. ; Liu, X. ; Pan, Zaiping

  • Author_Institution
    Dept. of Electron. & Electr. Engi neering, Univ. of Sheffield, Sheffield, UK
  • Volume
    26
  • Issue
    1
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    36
  • Lastpage
    45
  • Abstract
    High acoustic noise and vibration is one of the main drawbacks, which has limited the wide application of switched reluctance machine (SRM), especially when it is noise and vibration sensitive. Therefore, many studies have been carried out to reduce the acoustic noise and vibration of SRM. One attractive and effective method is the active vibration cancellation (AVC) proposed by Wu and Pollock, which is easy to realize without increasing any hardware. This paper presents a simple analytical method for predicting the maximum reduction levels of vibration and noise by AVC, compared with the conventional excitation. Its predicted results are then verified by experiments on a prototype 6/4 SRM.
  • Keywords
    acoustic noise; machine control; reluctance machines; vibration control; acoustic noise reduction; active vibration cancellation; active vibration control; maximum reduction levels; switched reluctance machine; Acoustic noise; active vibration control; switched reluctance machine (SRM); vibration;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2010.2087336
  • Filename
    5665759