Enhanced Deadbeat Predictive Current Control for SPMSM Drives Combining Robust Super-Twisting Terminal Sliding Mode Speed Controller

Mengxi Dang, Manfeng Dou, Zhiguang Hua, Changliang Dang, Chao Gong, Dongdong Zhao, Yuanlin Wang, Bin Liang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

To promote the drive performance of surface-mounted permanent magnet synchronous motor (SPMSM), such as responsiveness, tracking accuracy, and anti-disturbance capability, an enhanced deadbeat predictive current control (DPCC) algorithm combining super-twisting terminal sliding mode is proposed in this paper. First, a novel SPMSM model considering parameter perturbation is derived. Subsequently, a super-twisting terminal sliding mode control (STSMC) scheme with a super-twisting observer (STO) is proposed to enhance the performance of the speed loop, with stability validated using Lyapunov theory. In addition, two extended state observers (ESOs) are developed to estimate the predictive error caused by parameter mismatch in the <italic>dq</italic> axis, respectively, and the estimated values are compensated with feedback to DPCC. Finally, the proposed control methods are implemented on an SPMSM platform and compared with conventional control methods under various operating conditions, and the comparison results prove the superiority.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
DOIs
StateAccepted/In press - 2024

Keywords

  • Accuracy
  • Current control
  • Deadbeat predictive current control (DPCC)
  • Mathematical models
  • Observers
  • Power electronics
  • Robustness
  • Stators
  • extended state observer (ESO)
  • super-twisting observer (STO)
  • super-twisting terminal sliding mode (STSMC)
  • surface-mounted permanent-magnet synchronous motor (SPMSM)

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