A nonlinear extended state observer for rotor position and speed estimation for sensorless IPMSM Drives

Zhuang Xu, Tianru Zhang, Yuli Bao, He Zhang, Chris Gerada

Research output: Journal PublicationArticlepeer-review

32 Citations (Scopus)

Abstract

Sensorless machine drives in vehicle traction frequently experience rapidly-changing load disturbance and demand fast speed dynamics. Without gain-scheduling or compensation, conventional quadrature phase-locked-loop (Q-PLL) is unable to accurately estimate the rotor position and speed for these systems. In this paper, a third-order nonlinear extended state observer (TNESO) is proposed for position and speed estimation for sensorless interior permanent magnet synchronous motor drives. TNESO has the power of nonlinear feedback and takes the advantages of fast convergence and disturbance rejection. An optimized parameter configuration method is deployed to extend the disturbance observation bandwidth of the TNESO. Both steady state and transient performance of TNESO are verified through the experimental tests. In comparison with the performance of conventional Q-PLL scheme, the proposed observer is proved to be capable of delivering higher precision of position and speed estimation against rapidly varying disturbance in wide operating range.

Original languageEnglish
Article number8703133
Pages (from-to)733-743
Number of pages11
JournalIEEE Transactions on Power Electronics
Volume35
Issue number1
DOIs
Publication statusPublished - Jan 2020

Keywords

  • Permanent magnet synchronous motor (PMSM)
  • sensorless control
  • variable speed drives

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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