Sliding Mode Control Strategies for Maglev Systems Based on Kalman Filtering
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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.
| Original language | English |
|---|---|
| Title of host publication | Power Engineering and Intelligent Systems - Proceedings of PEIS 2024 |
| Editors | Vivek Shrivastava, Jagdish Chand Bansal, B.K. Panigrahi |
| Number of pages | 14 |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Publication date | 2024 |
| Pages | 85-98 |
| ISBN (print) | 978-981-97-6713-7 |
| ISBN (electronic) | 978-981-97-6714-4 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2nd International Conference on Power Engineering and Intelligent Systems - PEIS 2024 - Srinagar, India Duration: 16.03.2024 → 17.03.2024 Conference number: 2 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=176808©ownerid=182588 |
Bibliographical note
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
- Kalman filter, Maglev system, Sliding mode control
- Engineering