Adaptive Sliding Mode Observer-Based Sensorless Control for SPMSM Employing a Dual-PLL

Zhe Chen, Abd Alrahman Dawara, Xuxuan Zhang, Hang Zhang, Chunqiang Liu, Guangzhao Luo

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

In order to get rid of the chattering problem of a sliding mode observer, this article presents an adaptive sliding mode observer (ASMO)-based sensorless control for surface-mounted permanent-magnet synchronous machines (SPMSMs). In the conventional sliding mode observer, a large gain is required to ensure the sliding motion stability. However, it leads to undesired chattering and degrades the position estimation accuracy. With the proposed ASMO strategy, the observer gain can be dynamically adjusted according to the back electromotive force (EMF), and it is applicable in wide speed range with improved estimation accuracy. Then, a dual-phase-locked loop (DPLL) is improved to extract accurate rotor position information under dynamic process in both positive and negative rotating directions of the SPMSM. Finally, the effectiveness of the proposed method has been verified by simulation and experiment on a Higale platform with a 0.2-kW SPMSM.

Original languageEnglish
Pages (from-to)1267-1277
Number of pages11
JournalIEEE Transactions on Transportation Electrification
Volume8
Issue number1
DOIs
StatePublished - 1 Mar 2022

Keywords

  • Adaptive sliding mode observer (ASMO)
  • Dual-phase-locked loop (DPLL)
  • Sensorless control
  • Surface-mounted permanent-magnet synchronous machine (SPMSM)

Fingerprint

Dive into the research topics of 'Adaptive Sliding Mode Observer-Based Sensorless Control for SPMSM Employing a Dual-PLL'. Together they form a unique fingerprint.

Cite this