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Model predictive current control for two-phase switches clamping of three-phase inverter

机译:三相逆变器两相开关夹紧模型预测电流控制

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Traditional finite-control-set model predictive control has been widely concerned for heavy power voltage source inverters owing to its simplicity, as well as control flexibility. However, the drawbacks of widespread current harmonic, high switching loss and heavy computational burden are fully exposed. In this article, three-phase voltage source inverter is taken as the research object and a model predictive current control algorithm for two-phase switches clamping is proposed. Firstly, deadbeat control and delay compensation strategy are combined to calculate reference voltage vector and determine two legs that have maximum and minimum reference voltage vectors. Then, the optimal voltage vector set can be directly selected by clamping switches on two legs that have maximum and minimum reference voltage vectors, which decreases the number of commutations on three legs with a large current. The proposed algorithm not only reduces the switching loss and computational burden, but also increases the efficiency of operation. The simulation experiments are implemented to estimate the control effect of the proposed algorithm. Comparison results indicate the proposed algorithm can be more effective than existing algorithms.
机译:由于其简单性以及控制灵活性,传统的有限控制设定模型预测控制已广泛关注重型电源电压源逆变器。然而,广泛的电流谐波,高开关损耗和重计算负担的缺点是完全暴露的。在本文中,提出了三相电压源逆变器作为研究对象,提出了一种用于两相开关钳位的模型预测电流控制算法。首先,将止血控制和延迟补偿策略组合以计算参考电压矢量,并确定具有最大和最小参考电压矢量的两条腿。然后,可以通过夹紧具有最大和最小参考电压矢量的两个腿上的开关直接选择最佳电压矢量设定,这减小了具有大电流的三个腿上的换向的数量。所提出的算法不仅可以降低开关损耗和计算负担,而且还提高了操作效率。实施模拟实验以估计所提出的算法的控制效果。比较结果表明所提出的算法可以比现有算法更有效。

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