Set-based fast gradient projection algorithm for model predictive control of grid-tied power converters

被引:1
|
作者
Babojelic, Renato [1 ]
Belina, Bruno Vilic [1 ]
Iles, Sandor [1 ]
Matusko, Jadranko [1 ]
机构
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb, Croatia
关键词
Power converters; model predictive control; robust control; fast gradient projection method; field programmable gate array;
D O I
10.1080/00051144.2022.2149062
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Model Predictive Control (MPC) has attracted much attention and is widely used in power electronics. However, implementing the MPC algorithm is still a difficult task due to the fast dynamics of power converters and strict time constraints. In this paper, a computationally efficient MPC algorithm for grid-tied power converters based on the fast gradient projection method and invariant set theory is proposed. The algorithm is implemented and tested through hardware-in-the-loop simulations using Texas Instruments digital signal processors and Xilinx Field Programmable Gate Arrays platforms.
引用
收藏
页码:304 / 314
页数:11
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