Result Details

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.
Type
conference paper
Language
English
Authors
Kozubík Michal, Ing., Ph.D., RG-2-02 (CEITEC), UAMT (FEEC)
Václavek Pavel, prof. Ing., Ph.D., RG-2-02 (CEITEC), UAMT (FEEC)
Abstract

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.

Keywords

finite control set model predictive control, permanent magnet synchronous motor, general-purpose computing, graphics processing unit

URL
Published
2020
Pages
379–383
Proceedings
Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society
Conference
IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society
ISBN
978-1-7281-5414-5
Publisher
IEEE
Place
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"
}
Files
Departments
Cybernetics in Material Science (RG-2-02)
Department of Control and Instrumentation (UAMT)
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