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Sensoreless Model Predictive Control of Permanent Magnet Synchronous Motor based on Flux Observer with Angle Compensation

  • Sen Hong
  • , Yixiao Luo*
  • , Kai Yang
  • , Jincheng Yu
  • *Corresponding author for this work
  • Huazhong University of Science and Technology
  • Harbin Institute of Technology Shenzhen

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

Abstract

This paper proposes a sensorless continuous control set model predictive control (CCS-MPC) method with angle compensation based on estimated shaft system. Initially, the paper theoretically deduces the source of the angular error, establishes the spatial relationship between the estimated shaft system and the actual shaft system, and then designs an extended state observer (ESO) on the estimated shaft system to observe the disturbance terms. The compensation angle is derived using the inverse tangent function. The designed observer can compensate for the errors of both the filter and the PLL simultaneously. Finally, this paper constructs a simulation to verify the correctness of the compensation strategy.

Original languageEnglish
Title of host publicationICEMS 2025 - 28th International Conference on Electrical Machines and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1525-1530
Number of pages6
ISBN (Electronic)9788986510232
DOIs
StatePublished - 2025
Externally publishedYes
Event28th International Conference on Electrical Machines and Systems, ICEMS 2025 - Busan, Korea, Republic of
Duration: 16 Nov 202519 Nov 2025

Publication series

NameICEMS 2025 - 28th International Conference on Electrical Machines and Systems

Conference

Conference28th International Conference on Electrical Machines and Systems, ICEMS 2025
Country/TerritoryKorea, Republic of
CityBusan
Period16/11/2519/11/25

Keywords

  • ccs-mpc
  • eso
  • flux observer
  • pmsm
  • sensorless control

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