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Sliding Mode Control Strategies for Maglev Systems Based on Kalman Filtering

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Authors

This paper presents the control of a magnetic levitation (Maglev) system using sliding mode control (SMC) and a Backstepping-based variant. The Maglev system considered in this paper has no sensor for measuring the velocity, which is necessary for the application of SMC. For that reason, a Kalman filter is derived to optimally estimate this state variable, effectively rendering this a speed-sensorless approach. Both controllers are evaluated and compared based on extensive simulation studies, with and without additive disturbances, in order to compare their robustness regarding this aspect.

OriginalspracheEnglisch
TitelPower Engineering and Intelligent Systems - Proceedings of PEIS 2024
HerausgeberVivek Shrivastava, Jagdish Chand Bansal, B.K. Panigrahi
Anzahl der Seiten14
VerlagSpringer Science and Business Media Deutschland GmbH
Erscheinungsdatum2024
Seiten85-98
ISBN (Print)978-981-97-6713-7
ISBN (elektronisch)978-981-97-6714-4
DOIs
PublikationsstatusErschienen - 2024
Veranstaltung2nd International Conference on Power Engineering and Intelligent Systems - PEIS 2024 - Srinagar, Indien
Dauer: 16.03.2024 → 17.03.2024
Konferenznummer: 2
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=176808&copyownerid=182588

Bibliographische Notiz

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

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