Skip to main navigation Skip to search Skip to main content

High-Performance Position Estimation Method Based on the Error-Corrected State Observer and Its Application on Permanent Magnet Synchronous Machine

  • Lei Wang
  • , Xin Wei*
  • , Daen Chen
  • , Yongde Zhang
  • , Shuanghui Hao
  • *Corresponding author for this work
  • Harbin University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In order to enhance the state feedback accuracy of permanent magnet synchronous motor (PMSM), magnetic simulation analysis, magnetic simulation analyses were initially conducted on a 10-pole, 12-slot motor to investigate the reliability of PMSM under long-term operational conditions. Subsequently, we considered the impact of current disturbances on position observation, along with the harmonic disturbances of stator current and permanent magnet flux, to rectify the observed errors of the state observer. A novel error-corrected extended state observer is proposed to enhance the observed accuracy of PMSM. Finally, acceleration and deceleration experiment, as well as load disturbance experiment, were performed. The results of the experiments and observed simulations demonstrate that the designed state observer achieves faster dynamic response and higher observed precision compared to the state observer that does not utilize the method presented in this paper. Moreover, it exhibits excellent sinusoidal properties of the current waveform and strong anti-disturbance ability.

Original languageEnglish
Pages (from-to)5045-5061
Number of pages17
JournalJournal of Electrical Engineering and Technology
Volume19
Issue number8
DOIs
StatePublished - Nov 2024

Keywords

  • Error-corrected
  • Low-order Harmonic Disturbance
  • Observation Precision
  • PMSM
  • State Observer

Fingerprint

Dive into the research topics of 'High-Performance Position Estimation Method Based on the Error-Corrected State Observer and Its Application on Permanent Magnet Synchronous Machine'. Together they form a unique fingerprint.

Cite this