On signal denoising using quasi real-time wavelet algorithm in PMSM traction system

Jun Zhao, Wei Guo Liu, Bo Tan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The performance of permanent magnet synchronous motor (PMSM) vector control system was studied, which is with noise of current sensors. Using wavelet denoising theory, a quasi real-time Wavelet denoising arithmetic was proposed, based on the nonlinear wavelet threshold denoising method. A PMSM vector control traction system model has been established to analyze the influence of system performance with noise of current sensors. And using quasi real-time Wavelet denoising arithmetic, it accomplishes closed loop control in PMSM traction system with the noise. The simulation results show that the arithmetic can effectively decrease the influence of noise of current sensors, achieve real-time requirement and enhance the stability of PMSM traction system.

Original languageEnglish
Pages (from-to)926-932
Number of pages7
JournalDianji yu Kongzhi Xuebao/Electric Machines and Control
Volume13
Issue number6
StatePublished - Nov 2009

Keywords

  • Permanent magnet synchronous motor traction
  • Quasi real-time denoising
  • Wavelet transform

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