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D-Q frame predictive current control methods for inverter stage of solid state transformer

机译：固态变压器逆变器级D-Q帧预测电流控制方法

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Solid state transformer (SST) is regarded as the most emerging technologies of energy internet. The inverter stage of SST supplies sinusoidal voltage to the home users. This study proposes model predictive current control (MPCC) of the inverter stage of SST. It is much easier to perform analysis and design controllers in DQ frame for the inverter stage of SST because all time-varying state variables of the inverter stage become DC time-invariant. Without integral action, the conventional MPCC contains steady-state errors in both d-axis and q-axis currents, hence degrading the closed-loop performance. The integral MPCC (IMPPC) is therefore proposed to eliminate the steady-state errors of the current control system and improve its closed-loop performance. Furthermore, the improved IMPCC is less sensitive to system parameter variations when compared with the conventional MPCC. Simulation and experimental results are utilised to show the successful design and implementation of the conventional MPCC and improved IMPCC. The experimental results reveal that the improved IMPCC has the benefit of fast dynamic performance, zero steady-state errors and insensitive to system parameter variations.
机译：固态变压器（SST）被视为能源互联网中最新兴的技术。 SST的逆变器级向家庭用户提供正弦电压。本研究提出了SST逆变器级的模型预测电流控制（MPCC）。对于SST的逆变器级，在DQ帧中执行分析和设计控制器要容易得多，因为逆变器级的所有时变状态变量都变为直流时不变。如果没有积分作用，传统的MPCC会在d轴和q轴电流中均包含稳态误差，从而降低了闭环性能。因此，提出了集成式MPCC（IMPPC）以消除电流控制系统的稳态误差并改善其闭环性能。此外，与传统的MPCC相比，改进的IMPCC对系统参数的变化不太敏感。仿真和实验结果用于说明常规MPCC和改进的IMPCC的成功设计和实现。实验结果表明，改进的IMPCC具有动态性能快，稳态误差为零以及对系统参数变化不敏感的优点。

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