Backstepping-based Input-Output Linearization of a Peltier Element for Ice Clamping using an Unscented Kalman Filter

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

This paper proposes an estimator-based tracking control for a thermoelectric cooling system with Peltier cells. It is intended for use in a novel manufacturing system leveraging ice clamping. Starting from physical principles and conservation equations, a 4th-order state space model is developed and exploited within an input-output linearization, where the internal dynamics can be shown to be asymptotically stable. A backstepping-based tracking control is designed to accurately track the desired cold side temperature even in the presence of disturbances. Unknown states and disturbances are observed using an Unscented Kalman Filter, which outperforms previous results with alternative estimators. Conclusive simulation results are discussed and demonstrate the performance of the combined control and estimation structure.

Original languageEnglish
Title of host publicationIECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society : Proceedings
Number of pages7
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date2024
ISBN (print)978-1-6654-6455-0
ISBN (electronic)978-1-6654-6454-3
DOIs
Publication statusPublished - 2024
Event50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024 - Chicago, United States
Duration: 03.11.202406.11.2024
Conference number: 50
https://www.iecon-2024.org/

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

    Research areas

  • Input-Output Linearization, Thermoelectric System, Unscented Kalman Filter
  • Engineering

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