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
Link To Document :
بازگشت