This article proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor (PMSM) drives. Compared to the conventional implicit MPC, the proposed IMPCC has a much lower computational burden and thus is suitable for real-time applications. Two-step optimization is employed in this method to minimize the cost function based on continuous control set (CCS) while respecting the constraints. Furthermore, the proposed IMPCC uses an incremental model that eliminates the permanent magnet flux linkage. Its strong parameter robustness against stator resistance and inductance variations is also theoretically analyzed. Experimental results are presented to show the superior performance of the proposed IMPCC.

中文翻译：

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用于 PMSM 驱动器的具有连续控制集的改进隐式模型预测电流控制

本文提出了一种改进的用于永磁同步电机 (PMSM) 驱动器的隐式模型预测电流控制 (IMPCC) 方法。与传统的隐式 MPC 相比，所提出的 IMPCC 的计算负担要低得多，因此适用于实时应用。该方法采用两步优化，在尊重约束的同时，基于连续控制集（CCS）最小化成本函数。此外，提议的 IMPCC 使用了一个增量模型，消除了永磁磁链。还从理论上分析了其对定子电阻和电感变化的强大参数鲁棒性。实验结果展示了所提出的 IMPCC 的优越性能。