三相LCL并网逆变器无参数滑模预测控制策略

常规三相LCL并网逆变器模型预测电流控制方法存在计算量大、参数鲁棒性差等缺点。为了解决这些问题，提出了一种三相LCL并网逆变器无参数滑模预测电流控制方法。该方法利用滑模控制理论，建立了一种新型无参数电流控制价值函数，无需采用模型参数即可实现并网电流预测控制，从而简化了控制系统的预测过程。此外，该方法省去了逆变器侧电流传感器和电容电压传感器，节约了硬件成本，提高了系统运行可靠性。最后，根据常规模型预测电流控制和滑模预测电流控制的优点，提出了一种三相并网逆变器自适应预测控制方法，提高了并网逆变器控制对模型参数失准的适应能力。实验结果表明，在系统参数失准的情况下，所提出的控制策略具有更小的并网电流控制误差，有效地提高了系统参数鲁棒性。

Nonparametric sliding mode predictive control strategy for a three-phase LCL grid-connected inverter

The disadvantages of the conventional model predictive current control method for a three-phase LCL grid-connected inverter are the need for much calculation and poor parameter robustness. To help eliminate these issues, a nonparametric sliding mode predictive current control method for a three-phase LCL grid-connected inverter is proposed. This method uses the sliding mode control theory to establish a novel nonparametric current control cost function. This can realize grid current predictive control without using model parameters, and simplify the prediction process of the control system. Also, this method eliminates the inverter side current and capacitor voltage sensors, saves hardware cost and improves the operational reliability of the system. Finally, from the advantages of conventional model predictive current control and sliding mode predictive current control, an adaptive predictive control method for a three-phase grid-connected inverter is proposed to improve the adaptability of grid-connected inverter control with model parameter inaccuracy. The experimental results show that the proposed control strategy has less grid current control error when the system parameters are inaccurate, and the robustness of system parameters is effectively improved. This work is supported by the National Natural Science Foundation of China (No. 51907046 and No. U2004166).