Adaptivity Schemes for Model Predictive Speed Control of PMSM

Autor:	Kozubik, Michal, Vaclavek, Pavel, de Madinabeitia Merino, Inigo Garcia
Rok vydání:	2022
Předmět:	Adaptivity Parameter mismatch Motor control Nonlinear control Predictive control Permanent Magnet Synchronous Motor
Zdroj:	Proceedings of IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. 2022, 6 p. Proceedings of IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
DOI:	10.1109/iecon49645.2022.9968981
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::098d9a44f743d848f584580e1f710fb8 https://doi.org/10.1109/iecon49645.2022.9968981 Zobrazit plný text záznamu