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Improved Adaptive Law-Based Sliding Mode Observer for Sensorless Control of PMSM

  • Xuemei Sun*
  • , Jiacheng Jiang
  • , Mengji Zhao
  • , Quntao An
  • , Yunge Cui
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Dalian University of Technology

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

Abstract

In order to improve the dynamic response performance and reduce the steady-state error, this paper proposes an improved adaptive law-based sliding mode observer (SMO) for the sensorless control of permanent magnet synchronous motor (PMSM). The SMO based on conventional adaptive law can estimate rotor position without the phase shift, but it is not suitable for sensorless speed close-loop control because of its poor dynamic performance. In this paper, the adaptive law is improved to deal with this issue. The stability of the improved adaptive observer can be proved by the Lyapunov stability theory. The experimental results show that the proposed method can track the changes of rotor speed and position with good characters, such as fast convergence and little chattering.

Original languageEnglish
Title of host publication2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1396-1400
Number of pages5
ISBN (Electronic)9798350351330
DOIs
StatePublished - 2024
Event10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia - Chengdu, China
Duration: 17 May 202420 May 2024

Publication series

Name2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

Conference

Conference10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia
Country/TerritoryChina
CityChengdu
Period17/05/2420/05/24

Keywords

  • Frequency adaptive observer
  • permanent magnet synchronous motor
  • sensorless control
  • sliding mode observer

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