Extended Kalman Filter for Temperature Estimation and Control of Peltier Cells in a Novel Industrial Milling Process

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Extended Kalman Filter for Temperature Estimation and Control of Peltier Cells in a Novel Industrial Milling Process. / Mironova, Alexandra; Haus, Benedikt; Zedler, Andreas; Mercorelli, Paolo.

in: IEEE Transactions on Industry Applications, Jahrgang 56, Nr. 2, 8954802, 01.03.2020, S. 1670-1678.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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@article{36f76043cc1d4b889725dc9d527c4801,
title = "Extended Kalman Filter for Temperature Estimation and Control of Peltier Cells in a Novel Industrial Milling Process",
abstract = "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.",
keywords = "Engineering, Flexible manufacturing systems, manufacturing processes, industry applications, kalman filters, estimation",
author = "Alexandra Mironova and Benedikt Haus and Andreas Zedler and Paolo Mercorelli",
year = "2020",
month = mar,
day = "1",
doi = "10.1109/TIA.2020.2965058",
language = "English",
volume = "56",
pages = "1670--1678",
journal = "IEEE Transactions on Industry Applications",
issn = "0093-9994",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

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 -

DOI