Combined Model-Compensated and Quasi-Resonant Linear Active Disturbance Rejection Control for PMSM Drives

Songtao Chen, Xuefei Mao, Lei Zhao, Shuoyu Wang, Jiyang Zhang

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

Abstract

When operating at ultra-low speeds, Permanent Magnet Synchronous Motor (PMSM) is subject to disturbances such as non-linear frictional torque and periodic disturbance torque. These uncertain disturbances can cause fluctuations in speed, which deteriorate the speed loop performance. To address the problem, this paper proposed a linear active disturbance rejection control strategy (LADRC) that combined model-compensation and quasi-resonant control. The Stribeck model was chosen to estimate the non-linear frictional torque and input it into the linear expanding state observer (LESO) to reduce the estimation burden of LESO; The introduction of a quasi-resonant term (QR) in LESO improves the suppression of periodic harmonics in the mid-frequency band by linear active disturbance rejection control. Finally, the effectiveness of the proposed control strategy is verified by simulation experiments.

Original languageEnglish
Title of host publicationProceedings - 2023 China Automation Congress, CAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1399-1405
Number of pages7
ISBN (Electronic)9798350303759
DOIs
Publication statusPublished - 2023
Event2023 China Automation Congress, CAC 2023 - Chongqing, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference2023 China Automation Congress, CAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/2319/11/23

Keywords

  • LADRC
  • Model-compensation
  • PMSM
  • QR-control

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