Extended Kalman Filter for Temperature Estimation and Control of Peltier Cells in a Novel Industrial Milling Process
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In: IEEE Transactions on Industry Applications, Vol. 56, No. 2, 8954802, 01.03.2020, p. 1670-1678.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Extended Kalman Filter for Temperature Estimation and Control of Peltier Cells in a Novel Industrial Milling Process
AU - Mironova, Alexandra
AU - Haus, Benedikt
AU - Zedler, Andreas
AU - Mercorelli, Paolo
PY - 2020/3/1
Y1 - 2020/3/1
N2 - In this article, the design of an observer realized as an extended Kalman filter (EKF) is presented for a nonlinear thermoelectric system, characterized by a Peltier cell (PC). The task of the observer is to estimate the temperatures of the cold and warm side of the PCs, e.g., for control purposes. In particular, the cold-side temperature is to be monitored in the cooling system that is used to clamp workpieces by freezing of water in a novel industrial manufacturing process. The estimation of these temperatures is done during the milling phase in which a mill generates an abrupt change in the temperature to be controlled. Through the developed EKF, a sensorless control can be realized in order to control the cold-side temperature without the use of a sensor. Sensorless control has the advantages of minimizing costs, installation efforts, maintenance, measurement noise, and saving space in installation. Even during the milling phase, the EKF shows excellent estimation results that are obtained from real measurements obtained from a dedicated test bench.
AB - In this article, the design of an observer realized as an extended Kalman filter (EKF) is presented for a nonlinear thermoelectric system, characterized by a Peltier cell (PC). The task of the observer is to estimate the temperatures of the cold and warm side of the PCs, e.g., for control purposes. In particular, the cold-side temperature is to be monitored in the cooling system that is used to clamp workpieces by freezing of water in a novel industrial manufacturing process. The estimation of these temperatures is done during the milling phase in which a mill generates an abrupt change in the temperature to be controlled. Through the developed EKF, a sensorless control can be realized in order to control the cold-side temperature without the use of a sensor. Sensorless control has the advantages of minimizing costs, installation efforts, maintenance, measurement noise, and saving space in installation. Even during the milling phase, the EKF shows excellent estimation results that are obtained from real measurements obtained from a dedicated test bench.
KW - Engineering
KW - Flexible manufacturing systems
KW - manufacturing processes
KW - industry applications
KW - kalman filters
KW - estimation
UR - http://www.scopus.com/inward/record.url?scp=85082015004&partnerID=8YFLogxK
U2 - 10.1109/TIA.2020.2965058
DO - 10.1109/TIA.2020.2965058
M3 - Journal articles
VL - 56
SP - 1670
EP - 1678
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
SN - 0093-9994
IS - 2
M1 - 8954802
ER -