Izvorni znanstveni članak
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
* Dopisni autor.
Sažetak
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.
Ključne riječi
Power converters; model predictive control; robust control; fast gradient projection method; field programmable gate array
Hrčak ID:
315751
URI
Datum izdavanja:
28.11.2022.
Posjeta: 487 *