PLPR-Based Predictive Control for LCL -Filtered Voltage Source Inverters
IEEE Transactions on Power Electronics(2024)
摘要
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 improve 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 proposed PLPR-PC.
更多查看译文
关键词
Voltage source inverters,LCL-filter,prediction control,current-voltage gradient,parameter less prediction and reference
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要