LC滤波型逆变器并网电压鲁棒预测控制

近年来，模型预测控制被广泛应用于两电平电压源逆变器以实现并网控制。然而，常规有限控制集模型预测控制(FCS-MPC)存在参数失配时预测精度下降的问题。为此，提出一种适用于LC滤波型逆变器并网电压鲁棒预测控制的无参数FCS-MPC方法。首先分析了参数变化对常规LC滤波型逆变器并网电压预测控制的影响。然后基于超局部建模理论建立了LC滤波型并网逆变器的二阶超局部模型，并研究了2个集总扰动的计算方法。该计算方法省去了网侧电流传感器，节约了成本，并实现了无参数预测控制。实验结果表明，与常规FCS-MPC方法相比，在参数不匹配的情况下，所提无参数FCS-MPC方法仍能达到较好的模型预测控制性能，验证了所提方法的有效性。

Robust predictive control of grid-connected voltage for LC filter type inverter

In recent years, model predictive control has been widely used in two-level voltage source inverters to achieve grid-connected control. However, the conventional FCS-MPC(Finite Control Set-Model Predictive Control) has the problem of decreased prediction accuracy when the parameters are mismatched. For this reason, a parameter-free FCS-MPC method for robust predictive control of grid-connected voltage for LC filter type inverter is proposed. Firstly, the influence of parameter change on the grid-connected voltage predictive control of conventional LC filter type inverters is analyzed. Then based on the ultra-local model theory, the second-order ultra-local model of the LC filter type grid-connected inverter is established, and the calculation method of two lumped disturbances is studied. The calculation method eliminates the grid-side current sensor and saves the cost, and realizes parameter-free predictive control. Finally, the experimental results show that, compared with the conventional FCS-MPC method, the proposed parameter-free FCS-MPC method has better model predictive control characteristics. In the case of parameter mismatch, parameter-free FCS-MPC can still achieve better model predictive control performance, which verifies the effectiveness of the proposed method.