This article proposes a novel model predictive control for a three-phase permanent-magnet synchronous motor (PMSM) with enhanced robustness against parameter variation and higher current control precision. First, the extended set of voltage vectors are adopted to increase the current control precision. Then, the parameter sensitivity problem is avoided in the first stage using an indirect reference vector strategy for the sake of computation time reduction. Subsequently, the inductance disturbance observer is adopted in the current prediction process to enhance the robustness against machine parameter mismatch. The intrinsic connection between the discrete control sets precision and disturbance observer is analyzed. The proposed method improves the robustness against parameter mismatch and current control precision simultaneously. Experimentations are conducted to verify the effectiveness of the proposed method.

中文翻译：

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具有改进控制精度的三相 PMSM 电机的鲁棒模型预测控制

本文提出了一种用于三相永磁同步电机 (PMSM) 的新型模型预测控制，具有增强的参数变化鲁棒性和更高的电流控制精度。首先，采用扩展的电压矢量集来提高电流控制精度。然后，为了减少计算时间，在第一阶段使用间接参考向量策略避免了参数敏感性问题。随后，在电流预测过程中采用电感扰动观测器，以增强对机器参数失配的鲁棒性。分析了离散控制集精度与扰动观测器之间的内在联系。该方法同时提高了对参数失配的鲁棒性和电流控制精度。