Backstepping-based Input-Output Linearization of a Peltier Element for Ice Clamping using an Unscented Kalman Filter
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society: Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., 2024. (IECON Proceedings (Industrial Electronics Conference)).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Backstepping-based Input-Output Linearization of a Peltier Element for Ice Clamping using an Unscented Kalman Filter
AU - van Rossum, Felix
AU - Haus, Benedikt
AU - Mercorelli, Paolo
AU - Aschemann, Harald
N1 - Conference code: 50
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Input-Output Linearization
KW - Thermoelectric System
KW - Unscented Kalman Filter
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=105000999763&partnerID=8YFLogxK
U2 - 10.1109/IECON55916.2024.10905814
DO - 10.1109/IECON55916.2024.10905814
M3 - Article in conference proceedings
AN - SCOPUS:105000999763
SN - 978-1-6654-6455-0
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - 50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024
Y2 - 3 November 2024 through 6 November 2024
ER -