基于滑模观测器的LCL型并网逆变器鲁棒预测控制研究

针对常规LCL型并网逆变器的有限控制集模型预测控制（FCS-MPC）参数鲁棒性差的问题，提出一种基于滑模观测器的LCL型并网逆变器鲁棒预测控制方法。首先，分析了参数变化对常规LCL型并网逆变器电网电流预测控制的影响；然后，根据超局部建模理论建立LCL型并网逆变器的一阶超局部模型，使用滑模观测器对系统的集总扰动进行估计，提高系统控制的动态性能，实现并网电流的鲁棒预测控制；最后，通过搭建Typhoon602+仿真器和PE-Expert4控制器实验平台验证了所提方法的有效性。

Robust Predictive Control of Grid-connected Inverter with LCL Filter Based on Sliding Mode Observer

Targeting the problem of poor parameter robustness for finite control set model predictive control （FCS-MPC）of conventional grid-connected inverter with LCL filter， the paper proposes a robust predictive control method based on sliding mode observer. Firstly， the influence of parameter variation on the current predictive control of the conventional grid-connected inverter with LCL filter is analyzed. Then a first-order ultra-local model of the grid-connected inverter with LCL filter is established based on the ultra-local modeling theory， and a sliding mode observer is used to estimate the lumped disturbance of the system， improving the dynamic performance of the system control， and realizing the robust predictive control of grid connected current. Finally， the effectiveness of the proposed method is verified by building a Typhoon 602+ simulator and PE-Expert 4 controller experimental platform.