Szczegóły publikacji

Opis bibliograficzny

Nonlinear Luenberger observer for velocity estimation in active magnetic levitation system / Rafał BIESZCZAD, Adam PIŁAT // W: MMAR 2023 [Dokument elektroniczny] : 27th international conference on Methods and Models in Automation and Robotics : 22–25 August 2023, Międzyzdroje, Poland : on line proceedings : technical papers. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2023. — (International Conference on Methods and Models in Automation and Robotics ; ISSN 2835-2815). — Dod. ISBN: 979-8-3503-1106-8 (USB), 979-8-3503-1108-2 (print on demand). — e-ISBN: 979-8-3503-1107-5. — S. 338–343. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 343, Abstr. — Publikacja dostępna online od: 2023-09-11


Autorzy (2)


Słowa kluczowe

estimationnon linearobservervelocitylevitation

Dane bibliometryczne

ID BaDAP148519
Data dodania do BaDAP2023-09-12
Tekst źródłowyURL
DOI10.1109/MMAR58394.2023.10242449
Rok publikacji2023
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaInstitute of Electrical and Electronics Engineers (IEEE)
Konferencja27th international conference on Methods and Models in Automation and Robotics
Czasopismo/seriaInternational Conference on Methods and Models in Automation and Robotics

Abstract

This article presents the problem of designing a nonlinear observer for an active magnetic suspension system. The design process of the nonlinear Luenberger observer (also known as the Kazantzis-Kravaris-Luenberger observer) is discussed. Particular attention was paid to the main nonlinearity of the system - the electromagnetic force, which was modeled applying the function describing the change in inductance as a function of the distance of the levitating object from the electromagnet surface. Theoretical analyses were confirmed by the results of experimental studies in which the task of moving the sphere between the given positions using current control was carried out. Control tasks were conducted in the real-time regime on an embedded platform. The measured signals and estimated velocity were analyzed in the context of future implementations in control applications.

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