Accurate Model Predictive Tracking Control of Peltier Cells With Integral Action and an Unscented Kalman Filter
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IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society. IEEE - Institute of Electrical and Electronics Engineers Inc., 2025. (IECON Proceedings (Industrial Electronics Conference)).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Accurate Model Predictive Tracking Control of Peltier Cells With Integral Action and an Unscented Kalman Filter
AU - Van Rossum, Felix
AU - Haus, Benedikt
AU - Mercorelli, Paolo
AU - Aschemann, Harald
N1 - Publisher Copyright: © 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In this paper, the focus is on ice clamping of workpieces using feedback-controlled Peltier cells, which represents a novel nonlinear control application. As only the hot-side temperature is accessible for measurements, an Unscented Kalman filter (UKF) estimates the temperatures on both the hot and cold sides of the Peltier element and a lumped disturbance heat flow acting on the cold side. These estimates are employed in linearized discrete-time model predictive control (MPC), which is adapted in each time step based on Taylor linearizations around desired trajectories, also considering the predicted future linearization errors, and tracks a given cold-side temperature profile despite interfering heat inflow from the machining process. Here, the nonlinear system model is exploited to calculate favorable desired values that correspond to low currents, minimizing the overall energy consumption and avoiding another possible operating point with high currents. The achieved tracking precision and estimation accuracy is pointed out in simulation results for a typical ice clamping scenario subject to disturbances.
AB - In this paper, the focus is on ice clamping of workpieces using feedback-controlled Peltier cells, which represents a novel nonlinear control application. As only the hot-side temperature is accessible for measurements, an Unscented Kalman filter (UKF) estimates the temperatures on both the hot and cold sides of the Peltier element and a lumped disturbance heat flow acting on the cold side. These estimates are employed in linearized discrete-time model predictive control (MPC), which is adapted in each time step based on Taylor linearizations around desired trajectories, also considering the predicted future linearization errors, and tracks a given cold-side temperature profile despite interfering heat inflow from the machining process. Here, the nonlinear system model is exploited to calculate favorable desired values that correspond to low currents, minimizing the overall energy consumption and avoiding another possible operating point with high currents. The achieved tracking precision and estimation accuracy is pointed out in simulation results for a typical ice clamping scenario subject to disturbances.
KW - Control Application
KW - MPC
KW - Thermoelectric System
KW - Unscented Kalman Filter
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=105024659362&partnerID=8YFLogxK
U2 - 10.1109/IECON58223.2025.11221003
DO - 10.1109/IECON58223.2025.11221003
M3 - Article in conference proceedings
AN - SCOPUS:105024659362
SN - 979-8-3315-9682-8
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
Y2 - 14 October 2025 through 17 October 2025
ER -