Publication detail

Adaptivity Schemes for Model Predictive Speed Control of PMSM

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

Original Title

Adaptivity Schemes for Model Predictive Speed Control of PMSM

Type

conference paper

Language

English

Original 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

Authors

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

Released

17. 10. 2022

Publisher

IEEE

ISBN

978-1-6654-8025-3

Book

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

Pages count

6

URL

https://ieeexplore.ieee.org/document/9968981

Full text in the Digital Library

http://hdl.handle.net/11012/209121

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"
}

Documents

IECON2022 - Adaptivity Schemes for Model Predictive Speed Control of PMSM.pdf