Result Details

Adaptivity Schemes for Model Predictive Speed Control of PMSM

KOZUBÍK, M.; VÁCLAVEK, P.; GARCÍA DE MADINABEITIA, I. Adaptivity Schemes for Model Predictive Speed Control of PMSM. In Proceedings of IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2022. 6 p. ISBN: 978-1-6654-8025-3.
Type
conference paper
Language
English
Authors
Kozubík Michal, Ing., Ph.D., RG-3-02 (CEITEC)
Václavek Pavel, prof. Ing., Ph.D., RG-3-02 (CEITEC), UAMT (FEEC)
García de Madinabeitia Iñigo
Abstract

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.

Keywords

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

URL
Published
2022
Pages
6
Proceedings
Proceedings of IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Conference
IECON 2022 - 48th Annual Conference of the Industrial Electronics Society
ISBN
978-1-6654-8025-3
Publisher
IEEE
DOI
10.1109/IECON49645.2022.9968981
EID Scopus
2-s2.0-85143914414
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"
}
Files
Departments
Cybernetics and Robotics (RG-3-02)
Department of Control and Instrumentation (UAMT)
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