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  • 标题:Adaptive sensorless PMSM mechanical fault detection with varying speeds
  • 本地全文:下载
  • 作者:Sébastien Cauet ; Erik Etien ; Laurent Rambault
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:6
  • 页码:797-802
  • DOI:10.1016/j.ifacol.2022.07.224
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we propose to improve an OSG (Orthogonal Signal Generator) based technique in order to extract mechanical faults from a PMSM (Permanent Magnet Synchronous Motor) with variable mechanical speed. This technique is part of the MCSA (Motor Current Signal Analysis) family. In this particular case, we use a single current measurement. The technique can be used on-line and without a mechanical speed sensor. A stability analysis of the adaptive OSG method is presented in this paper. Order tracking extraction is added to ensure robust analysis and detection of variable speed faults. A comparison is made with the Concordia and TKEO (Teager Kaiser Enregy Operator) methods on an experimental bench with a mechanical fault emulator. A statistical study of the fault detection is conducted based on the experimental results
  • 关键词:KeywordsInduction motor diagnosisCurrent demodulationmono-dimensional methodsOrthogonal Signal Generator
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