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Automatika : journal for control, measurement, electronics, computing and communications, Vol. 64 No. 2, 2023.

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

* Corresponding author.

Full text: english pdf 2.215 Kb

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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

https://hrcak.srce.hr/315751

Publication date:

28.11.2022.

Visits: 487 *