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<p>To enhance robustness against lumped disturbance and improve dynamic response in surface-mounted permanent magnet synchronous motor (SPMSM) drives, this study proposes a fast terminal integral sliding mode disturbance observer- based sliding mode current control (FTIDO-SMCC). An extended SPMSM model consolidates parameter uncertainties into a lumped disturbance term, estimated via a fast terminal integral sliding mode disturbance observer (FT-ISMDO). The FTIDO- SMCC leverages the compensated model to achieve fast convergence and reduced chattering. Theoretical stability is confirmed using Lyapunov analysis. Simulations and experiments demonstrate that FTIDO-SMCC improves dynamic response time by 70% compared with conventional SMCC, while maintaining robustness under ± 33% stator resistance variations, ± 20% permanent mag- net flux variations, and load disturbances. Results validate the method’s superiority in dynamic response and disturbance rejection.</p>

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Fast terminal integral sliding mode disturbance observer-based sliding mode current control for SPMSM systems

  • 期刊论文

  • 发表日期：

    2025年10月21日

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  • Ran Zu,
  • Min Li,
  • Zijun Huang,
  • Yanhui Huang,
  • Dong Xu

摘要

To enhance robustness against lumped disturbance and improve dynamic response in surface-mounted permanent magnet synchronous motor (SPMSM) drives, this study proposes a fast terminal integral sliding mode disturbance observer- based sliding mode current control (FTIDO-SMCC). An extended SPMSM model consolidates parameter uncertainties into a lumped disturbance term, estimated via a fast terminal integral sliding mode disturbance observer (FT-ISMDO). The FTIDO- SMCC leverages the compensated model to achieve fast convergence and reduced chattering. Theoretical stability is confirmed using Lyapunov analysis. Simulations and experiments demonstrate that FTIDO-SMCC improves dynamic response time by 70% compared with conventional SMCC, while maintaining robustness under ± 33% stator resistance variations, ± 20% permanent mag- net flux variations, and load disturbances. Results validate the method’s superiority in dynamic response and disturbance rejection.