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A Model Predictive Control with Online inductance estimator for Three-Phase VIENNA Rectifiers

机译:三相VIENNA整流器的在线电感估计器模型预测控制

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A model predictive control with online inductance estimator (OIEMPC) for three-phase VIENNA rectifiers is presented in this paper. An OIE adopting the dynamic filtering method and least square algorithm is proposed to further improve system robustness. In this OIE, the VIENNA rectifier pole voltages are obtained by computation utilizing the gate signals of the switching devices, AC current direction and the DC voltage, so that no additional voltage sensors are needed. Compared to the conventional MPC with finite control set (FCS-MPC), the proposed strategy can have better control performance, which effectively improves the robustness of the system. The effectiveness and correctness of the proposed OIEMPC method are demonstrated by the results of Simulink experiments.
机译:本文提出了一种用于三相VIENNA整流器的在线电感估计器(OIEMPC)的模型预测控制。为了进一步提高系统的鲁棒性,提出了采用动态滤波和最小二乘算法的OIE。在此OIE中,通过利用开关器件的栅极信号,交流电流方向和直流电压进行计算来获得VIENNA整流器极电压,因此不需要其他电压传感器。与传统的带有有限控制集的MPC(FCS-MPC)相比,该策略具有更好的控制性能,有效地提高了系统的鲁棒性。 Simulink实验结果证明了该方法的有效性和正确性。

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