This article proposes a new model predictive torque control (MPTC) for induction motors to improve its robustness against parameter mismatching when current model (CM) for flux estimation is employed. The main advantages of the proposed method are the improved range of stable operation during the occurrence of mutual inductance L_m, mismatched value, lower computational burden, and reduced switching losses. The improvement in robustness is achieved via adaptation of direct torque control (DTC) features thus eliminating any additional parameter estimation mechanism. Reference transformation is used to remove torque error from the cost function to achieve weighting-factor-free MPTC formulation. Then, based on the estimated and reference stator flux vector positions, it is established that flux positional error is directly proportional to the torque error. The positional error is then employed to reduce the admissible voltage vectors, which decreases parameter dependence of MPTC. The simulation results are compared to two other well-established MPTC techniques and based on the results, it is concluded that the proposed MPTC without parameter estimation and compensation technique have a wider tolerability of 56% for L_m mismatching.

中文翻译：

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改进的感应电机模型预测转矩控制，提高了对互感失配的鲁棒性

本文提出了一种用于感应电机的新模型预测转矩控制 (MPTC)，以在采用电流模型 (CM) 进行磁通估计时提高其对参数失配的鲁棒性。所提出方法的主要优点是在互感L _m出现期间提高了稳定运行的范围、失配值、降低计算负担和减少开关损耗。通过直接转矩控制 (DTC) 特性的适应实现鲁棒性的改进，从而消除了任何额外的参数估计机制。参考变换用于从成本函数中去除扭矩误差，以实现无加权因子的 MPTC 公式。然后，基于估计和参考定子磁通矢量位置，确定磁通位置误差与转矩误差成正比。然后使用位置误差来减少容许电压矢量，从而降低 MPTC 的参数依赖性。将仿真结果与其他两种成熟的 MPTC 技术进行比较，并根据结果，大号_米失配。