PLPR-Based Predictive Control for LCL-Filtered Voltage Source Inverters

The model predictive control (MPC) is sensitive to parameter variations in LCL-filtered voltage source inverters (VSIs). To improve the robustness of the MPC, this article proposes a parameter-less prediction and reference-based predictive control (PLPR-PC) for LCL-filtered VSIs, where the proposed PLPR-PC not only obtains the parameter-less predictions by measuring and updating all current-voltage gradients but also obtains the parameter-less references by using the phase differences between measured currents and voltages. The proposed PLPR-PC effectively eliminates parametric effects on both prediction and reference calculations and thereby improves the robustness of grid current for LCL-filtered VSIs under parameter variations. The 30-kW simulation and experimental prototype are built up to verify the feasibility and performance of the proposed PLPR-PC.