Finite control set model predictive control is an emerging technique for the control of power electronic converters. This paper introduces a simple and efficient predictive torque control (PTC) algorithm for induction motor drive. The proposed technique eliminates the need for flux-weighting factor for the conventional PTC. As a result, tedious offline tuning is no longer required. At the same time, the proposed technique ensures that the relative importance between torque and flux ripples is determined in an online fashion. Moreover, unlike the conventional method that needs to evaluate the cost function seven times (for two-level three-phase inverter case), the proposed method needs only to test four voltage vectors at each control sample which leads to a significant reduction in the computation time and switching frequency without sacrificing the performance. The effectiveness of the proposed method is demonstrated by both simulation and experimental results with comprehensive comparisons with the reported literature.

中文翻译：

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用于感应电机驱动的高效预测扭矩控制


有限控制集模型预测控制是一种新兴的电力电子变换器控制技术。本文介绍了一种简单高效的感应电机驱动预测扭矩控制 (PTC) 算法。所提出的技术消除了传统 PTC 对通量加权因子的需要。因此，不再需要繁琐的离线调整。同时，所提出的技术确保以在线方式确定扭矩和磁通脉动之间的相对重要性。此外，与需要评估成本函数七次（对于两电平三相逆变器情况）的传统方法不同，所提出的方法仅需要在每个控制样本处测试四个电压矢量，这导致计算量显着减少时间和开关频率而不牺牲性能。仿真和实验结果以及与文献报道的综合比较证明了该方法的有效性。