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.
Originalsprache | Englisch |
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Titel | Power Engineering and Intelligent Systems - Proceedings of PEIS 2024 |
Herausgeber | Vivek Shrivastava, Jagdish Chand Bansal, B.K. Panigrahi |
Anzahl der Seiten | 14 |
Verlag | Springer Science and Business Media Deutschland GmbH |
Erscheinungsdatum | 2024 |
Seiten | 85-98 |
ISBN (Print) | 978-981-97-6713-7 |
ISBN (elektronisch) | 978-981-97-6714-4 |
DOIs | |
Publikationsstatus | Erschienen - 2024 |
Veranstaltung | 2nd 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©ownerid=182588 |
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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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