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Torque ripple reduction for permanent magnet synchronous motor based on learning control

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

Abstract

Permanent magnet synchronous motor (PMSM) has been widely used with the characteristic of high torque at low speed. But the torque ripple is the main factor that limits the usage of PMSM. For torque ripple reduction, a rotation coordinate system of the motor model is established, and then the factors that cause torque ripple and the characteristic of torque ripple are analyzed. According to the characteristics of the torque ripple, the iterative learning control algorithm is proposed to reduce the torque ripple of motor. The effect of sampling time on torque ripple reduction performance is discussed. Finally, the performance of the proposed algorithm is validated by simulation in the Matlab/simulink environment.

Original languageEnglish
Title of host publicationProceedings - 2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015
EditorsShaozi Li, Ying Dai, Yun Cheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1001-1005
Number of pages5
ISBN (Electronic)9781467368506
DOIs
StatePublished - 9 Jun 2015
Event2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015 - Shanghai, China
Duration: 24 Apr 201526 Apr 2015

Publication series

NameProceedings - 2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015

Conference

Conference2015 2nd International Conference on Information Science and Control Engineering, ICISCE 2015
Country/TerritoryChina
CityShanghai
Period24/04/1526/04/15

Keywords

  • Iterative learning control
  • Permanent magnet synchronous motor
  • Torque ripple

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