针对永磁同步电机（PMSM）模型预测转矩控制（MPTC）权重系数设计和调节的问题，将权重系数连接的多目标成本函数并联形式转换为单目标成本函数的级联形式，从而消除权重系数。建立基于级联法的表面式PMSM MPTC，研究级联顺序及输出电压矢量个数对系统控制性能和计算量的影响。提出简化排序比较计算量的方法和采用模糊控制器动态调节输出电压矢量个数的优化策略。仿真结果表明：基于级联法的表面式PMSM MPTC可行，无需权重系数设计和调节。当第一级输出6个电压矢量时，采用简化算法的第一级排序比较次数和运行耗时分别减小71.43%和71.67%，整体运行耗时减少2.28%。与传统级联法相比，模糊动态级联MPTC可动态调节不同控制目标的重要性，减小转矩和磁链脉动，抑制动态磁链脉动，优化控制性能。

Aiming at the design and adjustment of the weighting factors for model predictive torque control (MPTC) of permanent magnet synchronous motor (PMSM), the parallel form of multiobject cost functions connected by weighting factors is converted into the cascaded form of singleobject cost function, therefore to eliminate the weighting factors. The MPTC for surface PMSM based on cascaded method is established to study the effect of cascaded sequence and the number of output voltage vectors on the system control performance and calculation quantity. The method to simply the sorting comparison calculation and the optimization strategy to dynamically adjust the number of output voltage vectors using a fuzzy controller are proposed. The simulation results show the MPTC for surface PMSM based on cascaded method is feasible without the design and adjustment of weighting factors. When the first stage outputs 6 voltage vectors, the number of sorting comparison and the running time of the first stage using the simplified algorithm are reduced by 71.43% and 71.67% respectively, and the total running time is reduced by 2.28%. Compared with conventional cascaded method, the fuzzy dynamic cascaded MPTC can dynamically adjust the importance of different control objectives, decrease torque and stator flux ripple, suppress dynamic flux ripple, and optimize control performance.

陕西省自然科学基金(2021JM-163);西安市碑林区科技计划项目(GX2252)