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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 languageEnglish
Title of host publicationPower Engineering and Intelligent Systems - Proceedings of PEIS 2024
EditorsVivek Shrivastava, Jagdish Chand Bansal, B.K. Panigrahi
Number of pages14
PublisherSpringer Science and Business Media Deutschland
Publication date2024
Pages85-98
ISBN (print)978-981-97-6713-7
ISBN (electronic)978-981-97-6714-4
DOIs
Publication statusPublished - 2024
Event2nd 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&copyownerid=182588

Bibliographical note

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

    Research areas

  • Kalman filter, Maglev system, Sliding mode control
  • Engineering

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Fernandes, F. M., Dos Santos, M. F., De Morais, M. H. F., Lima, J., Pereira, A. I. & Mercorelli, P., 2025, Proceedings of the 2025 26th International Carpathian Control Conference (ICCC): Grandhotel Starý Smokovec, High Tatras, Starý Smokovec, Slovak Republic, 19-21 May 2025. Kacur, J., Skovranek, T., Laciak, M. & Mojzisova, A. (eds.). Piscataway: Institute of Electrical and Electronics Engineers Inc., 6 p. (International Carpathian Control Conference, ICCC; vol. 26).

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A Fluid Elastomeric Actuator Design for Soft Robots

Els, D., van Niekerk, T., Mercorelli, P. & Welgemoed, J., 09.2025, In: Actuators. 14, 9, 14 p., 417.

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Li, X., Zhang, Q., Gu, H., Othmen, S., Asklany, S., Lhioui, C., Elrashidi, A. & Mercorelli, P., 07.2025, In: PLoS ONE. 20, 7, 22 p., e0327249.

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An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control

Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, In: Sensors. 25, 2, 27 p., 479.

Research output: Journal contributions › Journal articles › Research › peer-review

Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, In: IEEE Open Journal of Power Electronics. 6, p. 734-746 13 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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