TY - GEN

T1 - Reduced-Order Kalman Filter for Surface Temperature Monitoring of parameter-variant thermal Systems

AU - Frank, Tobias

AU - Wielitzka, Mark

AU - Ortmaier, Tobias

PY - 2020/10/26

Y1 - 2020/10/26

N2 - A real-time model-based surface temperature monitoring approach for large scale systems is presented in this manuscript. An insulated heating plate, which is part of a curing mold, is used to exemplify the method. The heat equation is formulated and boundary conditions such as thermal radiation and convection are included, to solve for temperature distributions over time. Complex geometry and different components require fine finite element meshes for spatial discretization, which leads to a large system scale. Furthermore, the heating plate can operate in a wide temperature range that impedes linearization of temperature dependent parameters. Model order reduction is performed to reduce computation time to real-time capabilities and enable iteratively solved identification of boundary condition parameters. A special remark is given to preservation of identifiable physical parameters and application of model order reduction, despite parameter-variant system description. Eventually, real-time monitoring of surface temperature distribution on a programmable logic controller is performed, using validated thermal models in a Kalman filter. A deviation below 1K is reached throughout most of the monitoring, during different temperature set-point trajectories.

AB - A real-time model-based surface temperature monitoring approach for large scale systems is presented in this manuscript. An insulated heating plate, which is part of a curing mold, is used to exemplify the method. The heat equation is formulated and boundary conditions such as thermal radiation and convection are included, to solve for temperature distributions over time. Complex geometry and different components require fine finite element meshes for spatial discretization, which leads to a large system scale. Furthermore, the heating plate can operate in a wide temperature range that impedes linearization of temperature dependent parameters. Model order reduction is performed to reduce computation time to real-time capabilities and enable iteratively solved identification of boundary condition parameters. A special remark is given to preservation of identifiable physical parameters and application of model order reduction, despite parameter-variant system description. Eventually, real-time monitoring of surface temperature distribution on a programmable logic controller is performed, using validated thermal models in a Kalman filter. A deviation below 1K is reached throughout most of the monitoring, during different temperature set-point trajectories.

KW - Kalman Filter

KW - LPV-Systems

KW - Model Order Reduction

KW - Process Control

KW - Temperature Distributions

UR - http://www.scopus.com/inward/record.url?scp=85096571402&partnerID=8YFLogxK

U2 - 10.1109/ICMA49215.2020.9233772

DO - 10.1109/ICMA49215.2020.9233772

M3 - Conference contribution

AN - SCOPUS:85096571402

SN - 978-1-7281-6417-5

T3 - IEEE International Conference on Mechatronics and Automation

SP - 570

EP - 575

BT - 2020 IEEE International Conference on Mechatronics and Automation (ICMA)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

Y2 - 13 October 2020 through 16 October 2020

ER -