由于永磁同步电机模型预测转矩控制的控制目标量纲不同，其成本函数需加权求和，但权重系数的设计与调节较为困难。将模糊决策法、VIKOR法、TOPSIS法、变异系数赋权法和熵值赋权法等客观评价法应用于永磁同步电机模型预测转矩控制以解决上述问题。对于仅考虑磁链和转矩控制的永磁同步电机模型预测转矩控制，上述方法均是可行的，无需权重系数，但在一定程度上增加了计算负担。不同策略的控制性能存在一定的差异，但整体基本相当。由综合性能对比可知，TOPSIS法的控制性能相对最优。

The cost functions of model predictive torque control (MPTC) of permanent magnet synchronous motor (PMSM) need to be weighted and summed because of the different control objective dimensions, but these are difficult to design and adjust the weight coefficients. The objective evaluation methods such as fuzzy decision method, VIKOR method, TOPSIS method, coefficient of variation weighting method and entropy weighting method are applied to the model predictive torque control of permanent magnet synchronous motor to solve the above problems. Examining the model predictive torque control of permanent magnet synchronous motor with flux linkage and torque control, the above methods are feasible and do not need weight coefficients, but the calculation load is increased to a certain extent. There are some differences in the control performance of different strategies, but the overall control performance is basically the same. According to the comprehensive performance comparison, the control performance of TOPSIS method is relatively optimal.

西安市碑林区科技计划项目(GX2252)