Detail publikace

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

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

Plný text v Digitální knihovně

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"
}