Original scientific paper
https://doi.org/10.1080/00051144.2022.2149062
Set-based fast gradient projection algorithm for model predictive control of grid-tied power converters
Renato Babojelić
; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Bruno Vilić Belina
; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Šandor Ileš
; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Jadranko Matuško
; Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Abstract
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.
Keywords
Power converters; model predictive control; robust control; fast gradient projection method; field programmable gate array
Hrčak ID:
315751
URI
Publication date:
28.11.2022.
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