Detail výsledku

Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU

KOZUBÍK, M.; VÁCLAVEK, P. Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU. In Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society. New York: IEEE, 2020. p. 379-383. ISBN: 978-1-7281-5414-5.
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Kozubík Michal, Ing., Ph.D., RG-2-02 (CEITEC VUT), UAMT (FEKT)
Václavek Pavel, prof. Ing., Ph.D., RG-2-02 (CEITEC VUT), UAMT (FEKT)
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

URL
Rok
2020
Strany
379–383
Sborník
Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society
Konference
IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society
ISBN
978-1-7281-5414-5
Vydavatel
IEEE
Místo
New York
DOI
10.1109/IECON43393.2020.9254381
UT WoS
000637323700059
EID Scopus
2-s2.0-85097763874
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"
}
Soubory
Pracoviště
Kybernetika pro materiálové vědy (RG-2-02)
Ústav automatizace a měřicí techniky (UAMT)
Nahoru