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KOZUBÍK, M. VÁCLAVEK, P.
Originální název
Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In this article, novel approach in implementing finite control set predictive control is introduced. Algorithm is implemented using general-purpose computing on graphics processing unit. Predictions are computed using parallel threads on the GPU. Optimal switching state is then selected in dependence on the cost function given by angular speed error and constraints on the current. The algorithm is tested in the PIL simulation using Simulink and Jetson Nano. The ability of the algorithm to ensure the reference tracking and keeping the current within its limits are discussed.
Klíčová slova
finite control set model predictive control, permanent magnet synchronous motor, general-purpose computing, graphics processing unit
Autoři
KOZUBÍK, M.; VÁCLAVEK, P.
Vydáno
18. 10. 2020
Nakladatel
IEEE
Místo
New York
ISBN
978-1-7281-5414-5
Kniha
Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society
Strany od
379
Strany do
383
Strany počet
5
URL
https://ieeexplore.ieee.org/document/9254381
Plný text v Digitální knihovně
http://hdl.handle.net/11012/195670
BibTex
@inproceedings{BUT165697, author="Michal {Kozubík} and Pavel {Václavek}", title="Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU", booktitle="Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society", year="2020", pages="379--383", publisher="IEEE", address="New York", doi="10.1109/IECON43393.2020.9254381", isbn="978-1-7281-5414-5", url="https://ieeexplore.ieee.org/document/9254381" }