为避免传统成本函数中权重系数的设计和调节，采用排序法实现表贴式永磁同步电机(SPMSM)模型预测转矩控制(MPTC)，将不同量纲的控制变量转化为无量纲的排序得分，从而消除权重系数，并设计优先级解决排序法中的最优电压矢量不唯一的问题，分析了不同优先级方案对系统控制性能的影响。仿真验证基于排序法SPMSM MPTC的可行性。

In order to avoid the design and tuning of the weighting factors in conventional cost function, the ranking approach is used to implement the model predictive torque control (MPTC) for surface permanent magnet synchronous motor (SPMSM). The control variables with different dimension are converted to dimensionless ranking scores, therefore, the weighting factors are eliminated. The priority rules are given to solve the problem that the optimal voltage vector is not unique for ranking approach, and the effects of different priorities on control performances are analyzed. Simulation results verify the effectiveness of the ranking approach in the SPMSM MPTC system.

陕西省自然科学基金项目(2021JM-163)