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Sensorless Strategy for Controlling SPMSM Combining Improved Adaptive SMO and Finite-Position-Set PLL

  • Xiang Wang
  • , Xu Sun
  • , Liming Deng
  • , Luying Feng
  • , Zhe Yang
  • , Keren Xie
  • , Heng Jin*
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

Abstract

In this paper, a sensorless field-oriented vector control (FOC) strategy combining an improved adaptive sliding mode observer (IASMO) and a finite-position-set phase-locked loop (FPS-PLL) is proposed for a surface permanent magnet synchronous motor (SPMSM) operating in the medium- and high-speed range. Firstly, a sliding mode observer (SMO) that can realize the observation of back electromotive force (back-EMF) is proposed, and an adaptive reaching law that can reduce the sliding mode coefficient is designed to help the SMO observe the back-EMF for the purpose of reducing chattering as well as verifying the stability of the system. Then, the FPS-PLL is used instead of a phase-locked loop (PLL) to extract the rotor position information from the observed back-EMF, thus avoiding the time-consuming process of tuning the PI parameters. The proposed FPS-PLL reduces the number of iterations from 64 to 20 while maintaining effective estimation performance. Finally, the effectiveness of the proposed scheme in suppressing chattering and maintaining comparable estimation accuracy while reducing computational burden is demonstrated by experiments.

Original languageEnglish
Article number134
JournalActuators
Volume15
Issue number3
DOIs
Publication statusPublished - Mar 2026
Externally publishedYes

Free Keywords

  • finite position set phase-locked loop (FPS-PLL)
  • improved adaptive sliding mode observer (IASMO)
  • sensorless control
  • surface permanent magnet synchronous motor (SPMSM)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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