Detail publikace

Differential Evolution Based Nonlinear Model Predictive Speed Control of PMSM Implemented on GPU

KOZUBÍK, M. FRIML, D.

Originální název

Differential Evolution Based Nonlinear Model Predictive Speed Control of PMSM Implemented on GPU

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, the novel approach to the nonlinear model predictive speed control of a permanent magnet synchronous motor and its implementation is introduced. The implementation is performed using general-purpose computing on graphics processing unit. The introduced algorithm uses the optimization method based on the differential evolution to get the optimal increment of stator voltage. The proposed algorithm is tested in the processor in the loop simulation with the Simscape model for the simulation of PMSM and the Jetson Xavier embedded device for the algorithm execution. The results show the ability of the algorithm to ensure the reference tracking and to keep the requested variables within their limits.

Klíčová slova

model predictive control; permanent magnet synchronous motor; differential evolution optimization; general-purpose computing; graphics processing unit; parallel computing

Autoři

KOZUBÍK, M.; FRIML, D.

Vydáno

20. 6. 2021

Nakladatel

IEEE

ISBN

978-1-7281-9023-5

Kniha

Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)

Strany od

01

Strany do

06

Strany počet

6

URL

https://ieeexplore.ieee.org/document/9576359

Plný text v Digitální knihovně

http://hdl.handle.net/11012/202246

BibTex

@inproceedings{BUT173029,
  author="Michal {Kozubík} and Dominik {Friml}",
  title="Differential Evolution Based Nonlinear Model  Predictive Speed Control of PMSM Implemented on GPU",
  booktitle="Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)",
  year="2021",
  pages="01--06",
  publisher="IEEE",
  doi="10.1109/ISIE45552.2021.9576359",
  isbn="978-1-7281-9023-5",
  url="https://ieeexplore.ieee.org/document/9576359"
}