Publication detail

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

KOZUBÍK, M. VÁCLAVEK, P.

Original Title

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

Type

conference paper

Language

English

Original 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

Authors

KOZUBÍK, M.; VÁCLAVEK, P.

Released

18. 10. 2020

Publisher

IEEE

Location

New York

ISBN

978-1-7281-5414-5

Book

Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society

Pages from

379

Pages to

383

Pages count

5

URL

https://ieeexplore.ieee.org/document/9254381

Full text in the Digital Library

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"
}