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<p>Model predictive control (MPC) is characterized by its high control accuracy and superior dynamic performance, making it a prevailing trend in the field of control algorithms for permanent magnet synchronous motors (PMSMs). However, the precision of the motor model significantly influences the effectiveness of MPC. To address this issue, this paper proposes a novel model-free predictive current control algorithm that is independent of the parameters of PMSM. First, the ultra-local model is established to isolate the lumped disturbance term. Based upon the construction of an ultra-local model, a novel extended-state observer is utilized to estimate the lumped disturbances and current at the (<i>k</i> + 1)-th moment. Then a simplified three-vector MPC incorporating the duty cycle reconstruction technique is adopted to improve the robustness of the control system. Finally, experimental results show that under 150% rated inductance variation, the proposed strategy achieves 2.59% total harmonic distortion, 885 ms settling time, and 0.33 A current overshoot, demonstrating clear superiority over the comparative strategies.</p>

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Multi-vector Operated Model-Free Predictive Current Control of PMSM Based on a Novel Extended-State Observer

  • 期刊论文

  • 发表日期：

    2026年6月2日

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  • Yuting Zhao,
  • Lu Liu,
  • Shihong Ding,
  • Li Ma

摘要

Model predictive control (MPC) is characterized by its high control accuracy and superior dynamic performance, making it a prevailing trend in the field of control algorithms for permanent magnet synchronous motors (PMSMs). However, the precision of the motor model significantly influences the effectiveness of MPC. To address this issue, this paper proposes a novel model-free predictive current control algorithm that is independent of the parameters of PMSM. First, the ultra-local model is established to isolate the lumped disturbance term. Based upon the construction of an ultra-local model, a novel extended-state observer is utilized to estimate the lumped disturbances and current at the (k + 1)-th moment. Then a simplified three-vector MPC incorporating the duty cycle reconstruction technique is adopted to improve the robustness of the control system. Finally, experimental results show that under 150% rated inductance variation, the proposed strategy achieves 2.59% total harmonic distortion, 885 ms settling time, and 0.33 A current overshoot, demonstrating clear superiority over the comparative strategies.