The finite-set model predictive torque control (PTC) of permanent magnet synchronous motors has a strong dependence on motor parameters, where the three-vector PTC is more sensitive because it involves multiple voltage vectors, increasing the number of predictions. When the predictive torque and stator flux control is performed with mismatched parameters, the prediction errors of the torque and stator flux will be produced, resulting in the misjudgment of the optimal voltage vector and eventually leading to worse system control performance. In this work, a torque and stator flux prediction error reduction method (TVPTC) is proposed by online compensation in the three-vector PTC to improve parameter robustness. First, two loops of torque and stator flux are considered, and the prediction error models in three segments are established: delay compensation, torque and stator flux prediction, and vector action time calculation. Second, the main error sources and error transfer relations of each link are analyzed. Finally, the predicted values of the torque and stator flux at moment k + 1 are accurately compensated according to the online saved error values under the action of different voltage vectors. Simulation and experimental results confirm that the proposed TVPTC method can achieve reliable torque and stator flux prediction control when the motor parameters were mismatched.

永磁同步电机的有限集模型预测转矩控制（PTC）对电机参数有很强的依赖性，其中三向量PTC由于涉及多个电压向量而更加敏感，增加了预测次数。在参数不匹配的情况下进行预测转矩和定子磁链控制时，会产生转矩和定子磁链的预测误差，导致对最优电压矢量的误判，最终导致系统控制性能变差。在这项工作中，通过在三矢量 PTC 中进行在线补偿，提出了一种转矩和定子磁通预测误差减小方法 (TVPTC)，以提高参数的鲁棒性。首先考虑转矩和定子磁链两个回路，建立三段预测误差模型：延迟补偿、转矩和定子磁通预测以及矢量作用时间计算。其次，分析了各环节的主要误差来源和误差传递关系。最后，力矩和定子磁通的预测值k  + 1 根据在线保存的误差值在不同电压矢量作用下进行精确补偿。仿真和实验结果证实，当电机参数不匹配时，所提出的 TVPTC 方法可以实现可靠的转矩和定子磁通预测控制。