建立了感应电机模型预测转矩控制（MPTC）系统、模型预测转矩无差拍控制系统（MPTC-DB）和转矩无差拍模型预测控制（DB-MPTC）系统仿真模型，并对三种控制策略进行仿真对比。仿真结果表明：与MPTC相比，MPTC-DB可减小转矩脉动均方根误差(RMSE)26.92%；与MPTC-DB相比，DB-MPTC可减小转矩脉动(RMSE)66.93%，减小磁链脉动(RMSE)43.37%，控制性能最优。

Simulation models of model predictive torque control (MPTC), model predictive torque deadbeat control (MPTC-DB) and deadbeat model predictive torque control (DB-MPTC) for induction motor are established. Simulation results under the control of three schemes are compared. The results show that, compared with the MPTC, the MPTC-DB can decrease the root mean squared error (RMSE) of torque ripple by 26.92%. Compared with the MPTC-DB, the DB-MPTC can decrease the RMSE of torque ripple by 66.93% and the RMSE of stator flux by 43.37%, which is an optimal strategy.

陕西省自然科学基金项目(2021JM-163);陕西省重点研发计划项目(2019ZDLGY15-06);陕西省重点研发计划项目(2020GY-164)