Complex-Coefficient Synchronous Frequency Filter-Based Position Estimation Error Reduction for Sensorless IPMSM Drives

Xuan Wu, Xu Yu*, Ting Wu, Kaiyuan Lu, Shoudao Huang, Hesong Cui, Shuangquan Fang

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

9 Citations (Scopus)

Abstract

Accurate rotor position is significant for the back electromotive force (EMF)-based sensorless interior permanent-magnet synchronous motor (IPMSM) control. However, the ±(6 h±1)th harmonics will appear obviously in the estimated back-EMF due to the effect of the inverter nonlinearity and flux spatial harmonics. These harmonics will subsequently result in the ±(6 h)th harmonic pulsation in the estimated rotor position. In order to deal with this issue, a new complex-coefficient synchronous frequency filter (CCSFF)-based sliding mode observer combined with a quadrature phase-locked loop (PLL) is proposed to mitigate the back-EMF voltage distortion. Therefore, the performance of the position estimation is remarkably improved. The proposed CCSFF possesses both bandpass-filtering and frequency-adaptability characteristics. It can pass the fundamental component without magnitude attenuation and phase delay in different frequency scenarios. Moreover, the linearized model of the proposed CCSFF-PLL-based position estimation system is established and a systematic parameter design is presented to obtain promising dynamic performance. The effectiveness and feasibility of the proposed method are confirmed by experiments on a 1.5-kW IPMSM test platform.

Original languageEnglish
JournalIEEE Transactions on Power Electronics
Volume37
Issue number12
Pages (from-to)15297-15307
Number of pages11
ISSN0885-8993
DOIs
Publication statusPublished - 1 Dec 2022

Bibliographical note

Publisher Copyright:
© 1986-2012 IEEE.

Keywords

  • Complex-coefficient synchronous frequency filter (CCSFF)
  • interior permanent magnet synchronous motor (IPMSM)
  • phase-locked loop (PLL)
  • sensorless
  • sliding mode observer (SMO)

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