An Improved Deadbeat Predictive Current Control with Online Parameter Identification for Surface-Mounted PMSMs

Yu Yao, Yunkai Huang, Fei Peng, Jianning Dong, Hanqi Zhang

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
36 Downloads (Pure)

Abstract

In this article, an improved deadbeat predictive current control (DPCC) method with parameters identification for surface-mounted permanent magnet synchronous machines (SPMSMs) is proposed. With the proposed DPCC method, zero steady-state current error and deadbeat dynamic current response could be achieved, even with inaccurate initial motor parameters. On basis of the conventional DPCC method, a novel parameters identification for the stator resistance and inductance is developed, which is the main contribution of this article. The proposed parameters identification method works based on a reconstructed characteristic vector from the disturbance observer with current injection. Compared with traditional recursive-least-square methods, the proposed method can be implemented with greatly reduced computation burden. Additionally, since the design is established based on the fully discretized model, the effectiveness will be guaranteed on both low-frequency and high-frequency motors, which is a significant advantage of the proposed method.

Original languageEnglish
Article number8941282
Pages (from-to)10145-10155
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume67
Issue number12
DOIs
Publication statusPublished - 2020

Keywords

  • disturbance observer
  • DPCC
  • parameters identification
  • SPMSM

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