A Novel Simplified Torque Ripple Reduction Strategy in Synchronous Reluctance Machines Based on the Torque Function

Yan Li, Zhen Chen, Xiaoyong Sun*, Xiangdong Liu

*Corresponding author for this work

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

Abstract

Synchronous reluctance machines (SynRMs) have been widely deployed in many industrial regions benefited from its high power density and reliability. However, the performance of SynRMs suffers from the significant torque ripple produced by its special rotor structure. This paper proposes a simplified torque ripple suppression strategy which takes advantage of the torque function concept. Under some reasonable assumptions, the coefficient of torque function is estimated by a tracking differentiator and a Luenberger observer. Then, the compensated d-axis current can be produced by modified torque function for the purpose of reducing the torque ripple. The effectiveness of the proposed method has been proved by several simulation and experimental results.

Original languageEnglish
Title of host publication2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2135-2140
Number of pages6
ISBN (Electronic)9798350317589
DOIs
Publication statusPublished - 2023
Event26th International Conference on Electrical Machines and Systems, ICEMS 2023 - Zhuhai, China
Duration: 5 Nov 20238 Nov 2023

Publication series

Name2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023

Conference

Conference26th International Conference on Electrical Machines and Systems, ICEMS 2023
Country/TerritoryChina
CityZhuhai
Period5/11/238/11/23

Keywords

  • Luenberger observer
  • synchronous reluctance machine (SynRM)
  • torque function
  • torque ripple suppression
  • tracking differentiator

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