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A Novel Sensorless Loss Minimization Control Method for High-speed SPMSM

  • Beihang University
  • State Grid Qingdao Power Supply Company

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, on the basis of sensorless control, the efficiency optimization of high-speed surface-mounted permanent magnet synchronous motor (SPMSM) is studied. The loss minimization control (LMC) method can optimize the air gap flux with the regulated d-axis current, thereby improving the efficiency of PMSM. However, it requires accurate rotor position and speed. For high-speed SPMSM, its speed and position accuracy obtained by general sliding mode observer (SMO) and arctangent operation are limited. For sake of improving the estimated position and speed accuracy of estimated speed and position, this paper uses two improved fundamental frequency extractors to process the observed back-electromotive force (EMF). And the accurate rotor position and speed is extracted by an orthogonal phase-locked loop (PLL). Then, for high-speed SPMSM, on the basis of the accurate position and speed, its efficiency is optimized by LMC strategy. Finally, the proposed method is proved to be valid by simulation.

Original languageEnglish
Title of host publication2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1643-1647
Number of pages5
ISBN (Electronic)9798350317589
DOIs
StatePublished - 2023
Event26th International Conference on Electrical Machines and Systems, ICEMS 2023 - Zhuhai, China
Duration: 5 Nov 2023 → 8 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
Period5/11/23 → 8/11/23

Keywords

  • High-speed surface-mounted permanent magnet synchronous motor (SPMSM)
  • efficiency optimization
  • fundamental frequency extractor (FFE)
  • loss minimization control (LMC)
  • phase-locked loop (PLL)
  • sliding mode observer (SMO)

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