Parameter Robust Deadbeat Predictive Current Control for Open-Winding Surface Permanent Magnet Synchronous Motor Drives

Mingwei Zhao, Shuo Zhang*, Xueping Li, Chengning Zhang, Ying Zhou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Deadbeat predictive current control (DPCC) of open-winding surface permanent magnet synchronous motor (OW-SPMSM) has excellent dynamic and steady-state performance, but it depends heavily on the accuracy of motor model parameters (resistance, inductance, and flux linkage). To eliminate the influence of parameter mismatch and retain the fast dynamic performance of the traditional DPCC, a parameter robust DPCC for OW-SPMSM drives is proposed in this article. First, the incremental prediction model of OW-SPMSM is introduced, which eliminates the flux linkage parameters in traditional DPCC. Second, the parameter sensitivity analysis shows that the mismatch of resistance parameter hardly affects the current prediction errors of incremental prediction model, which are mainly caused by the mismatch of inductance parameters. Finally, to extract the actual inductance information, an inductance extraction strategy is proposed. Experimental results show that the current control performance of the proposed robust DPCC is not influenced by any motor parameter mismatch, which always has smaller current tracking errors and total harmonic distortion (THD) than the traditional DPCC. Moreover, compared with the existing robust DPCC with observers, the proposed DPCC has better dynamic response performance.

Original languageEnglish
Pages (from-to)3117-3126
Number of pages10
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume11
Issue number3
DOIs
Publication statusPublished - 1 Jun 2023

Keywords

  • Deadbeat predictive current control (DPCC)
  • incremental prediction model
  • open-winding surface permanent magnet synchronous motor (OW-SPMSM)
  • parameter robustness

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