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Two-Stage Series Model Predictive Torque Control for PMSM Drives

机译:PMSM驱动器的两级系列模型预测扭矩控制

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摘要

A two-stage series model predictive torque control for permanent magnet synchronous motor drives is proposed in this article. First, the control of torque and flux linkage is converted to double-torque control (i.e., the control of active torque and reactive torque) based on the instantaneous power theory to eliminate the weighting factor in conventional model predictive torque control. Then, the double-torque prediction trajectory and double-torque reference are extrapolated to two control periods. The concept of two-stage series predictive control is proposed in this article, in which the cost functions of two prediction instants are designed to form series control structure. In the proposed method, the first-stage prediction is used to select candidate voltage vectors and the second-stage prediction is used to evaluate the optimal voltage vector. Since the cost function of two control periods in the future is considered when selecting the voltage vectors, the possibility that the same voltage vector is applied to adjacent control periods increases, thereby reducing the switching frequency of the system. Finally, the effectiveness of the proposed method is verified by experiments.
机译:本文提出了一种用于永磁同步电动机驱动器的两级系列模型预测扭矩控制。首先,基于瞬时功率理论,将扭矩和磁通连杆的控制转换为双扭矩控制(即,控制有源扭矩和反应扭矩),以消除传统模型预测扭矩控制中的加权因子。然后,双扭矩预测轨迹和双扭矩基准被推断为两个控制周期。本文提出了两级串联预测控制的概念,其中两个预测瞬间的成本函数旨在形成串联控制结构。在该方法中,第一级预测用于选择候选电压矢量,并且第二级预测用于评估最佳电压矢量。由于在选择电压矢量时,将来两个控制周期的成本函数被考虑,因此将相同的电压向量应用于相邻控制周期的可能性增加,从而降低了系统的开关频率。最后,通过实验验证了所提出的方法的有效性。

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