Harmonic disturbance suppression for magnetic bearing system based on synchronous rotating frame transformation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Harmonic disturbance is an obstacle to stable operation of magnetic bearing systems. In this paper, a novel method to suppress harmonic disturbance is proposed based on synchronous rotating frame (SRF) transformation. Among all harmonic disturbances, the impact of the third harmonic disturbance is relatively large. Thus, this paper is mainly focused on the third harmonic disturbance suppression. The harmonic disturbance is extracted by the method based on the SRF transformation and first-order low-pass filter. The method of complex-coefficient is employed to derive the transfer function. The Nyquist criterion and root locus approach are used to analyze the stability of the system. Considering both stability and dynamic performance, an analytical formula of optimal parameter is designed. Simulation results and experimental results show that the method proposed can suppress harmonic disturbance effectively. Compared with the conventional methods of harmonic disturbance suppression, the proposed method has better dynamic performance. This method has only one parameter and an optimal state of the system can be achieved using the optimal parameter which can be adjusted conveniently.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages4998-5003
Number of pages6
ISBN (Electronic)9789881563934
DOIs
StatePublished - 7 Sep 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • Dynamic Performance
  • Harmonic Disturbance
  • Optimal Parameter
  • Synchronous Rotating Frame (SRF) Transformation

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