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Detail publikace
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
https://ieeexplore.ieee.org/document/9968981
Plný text v Digitální knihovně
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" }
Dokumenty
IECON2022 - Adaptivity Schemes for Model Predictive Speed Control of PMSM.pdf