Detail publikace

Adaptivity Schemes for Model Predictive Speed Control of PMSM

KOZUBÍK, M. VÁCLAVEK, P. GARCÍA DE MADINABEITIA, I.

Originální název

Adaptivity Schemes for Model Predictive Speed Control of PMSM

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Model predictive control is a popular research topic in the field of motor control. Its direct way of implementing constraints and nonlinearities makes MPC a potential alternative to standard motor control approaches. On the other hand, the control algorithm's dependency on the motor model's precision can make it tricky. Especially when the parameters of the controlled machine change over time. This paper presents a possible solution to a stated problem based on the model adaptivity. Firstly, the connection between experimental data and the parameters change is analyzed. Then, adaptivity schemes are presented. After that, the simulation experiment evaluates the performance of the proposed schemes.

Klíčová slova

Predictive control, Nonlinear control, Adaptivity, Motor control, Permanent Magnet Synchronous Motor, Parameter mismatch

Autoři

KOZUBÍK, M.; VÁCLAVEK, P.; GARCÍA DE MADINABEITIA, I.

Vydáno

17. 10. 2022

Nakladatel

IEEE

ISBN

978-1-6654-8025-3

Kniha

Proceedings of IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

Strany počet

6

URL

Plný text v Digitální knihovně

BibTex

@inproceedings{BUT179655,
  author="Michal {Kozubík} and Pavel {Václavek} and Iñigo {García de Madinabeitia}",
  title="Adaptivity Schemes for Model Predictive Speed Control of PMSM",
  booktitle="Proceedings of IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society",
  year="2022",
  pages="6",
  publisher="IEEE",
  doi="10.1109/IECON49645.2022.9968981",
  isbn="978-1-6654-8025-3",
  url="https://ieeexplore.ieee.org/document/9968981"
}

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