Model predictive current control (MPCC) is a high-performance control strategy for permanent-magnet synchronous motor (PMSM) drives, with the features of quick response and simple computation. However, the conventional MPCC results in high torque and current ripples. This article proposes an improved MPCC scheme for PMSM drives. In the proposed scheme, the back electromotive force is estimated from the previous stator voltage and current, and it is used to predict the stator current for the next period. To further improve the steady state and dynamic performance, the proposed MPCC selects the optimal voltage vector based on a current track circle instead of a cost function. Compared with the calculation of cost function, the prediction of the current track circle is simple and quick. The proposed MPCC is compared with conventional MPCC and a duty-circle based MPCC by simulation and experiment in the aspect of converter output voltage and sensitivity analysis. Results prove the superiority of the proposed MPCC and its effectiveness in reducing the torque and current ripples of PMSM drives.

中文翻译：

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基于电流轨迹圆的PMSM驱动改进模型预测电流控制


模型预测电流控制（MPCC）是一种用于永磁同步电机（PMSM）驱动的高性能控制策略，具有响应速度快、计算简单等特点。然而，传统的 MPCC 会导致高扭矩和电流纹波。本文提出了一种用于 PMSM 驱动器的改进 MPCC 方案。在所提出的方案中，反电动势是根据先前的定子电压和电流来估计的，并用于预测下一周期的定子电流。为了进一步提高稳态和动态性能，所提出的 MPCC 基于当前轨迹圆而不是成本函数来选择最佳电压矢量。与代价函数的计算相比，当前轨道圈的预测简单、快捷。通过仿真和实验在转换器输出电压和灵敏度分析方面将所提出的 MPCC 与传统 MPCC 和基于占空比的 MPCC 进行比较。结果证明了所提出的 MPCC 的优越性及其在降低 PMSM 驱动器的扭矩和电流纹波方面的有效性。