Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter

Akira Yanou; Naoki Hosoya; Katsuhiro Wada; Mamoru Minami; Takayuki Matsuno

doi:10.1109/ETFA.2016.7733670

Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter

Akira Yanou, Naoki Hosoya, Katsuhiro Wada, Mamoru Minami, Takayuki Matsuno

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper deals with estimation of thermal conductivity for temperature control of an aluminum plate considering radiative heat transfer. Aiming at accurate control results, model-based control method needs true values of plant parameters. In our previous research, the nominal values of plant parameters have been used for temperature control experiment. However, for the actual environment in industrial field, physical parameters such as thermal conductivity will change. Therefore this paper reports the estimation result of thermal conductivity of aluminum plate considering radiative heat transfer through experimental data.

Original language	English
Title of host publication	2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Volume	2016-November
ISBN (Electronic)	9781509013142
DOIs	https://doi.org/10.1109/ETFA.2016.7733670
Publication status	Published - Nov 3 2016
Event	21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016 - Berlin, Germany Duration: Sept 6 2016 → Sept 9 2016

Other

Other	21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
Country/Territory	Germany
City	Berlin
Period	9/6/16 → 9/9/16

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Industrial and Manufacturing Engineering
Computer Science Applications

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10.1109/ETFA.2016.7733670

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Yanou, A., Hosoya, N., Wada, K., Minami, M., & Matsuno, T. (2016). Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter. In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016 (Vol. 2016-November). [7733670] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA.2016.7733670

Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter. / Yanou, Akira; Hosoya, Naoki; Wada, Katsuhiro et al.
2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016. Vol. 2016-November Institute of Electrical and Electronics Engineers Inc., 2016. 7733670.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yanou, A, Hosoya, N, Wada, K, Minami, M & Matsuno, T 2016, Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter. in 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016. vol. 2016-November, 7733670, Institute of Electrical and Electronics Engineers Inc., 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016, Berlin, Germany, 9/6/16. https://doi.org/10.1109/ETFA.2016.7733670

Yanou A, Hosoya N, Wada K, Minami M, Matsuno T. Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter. In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016. Vol. 2016-November. Institute of Electrical and Electronics Engineers Inc. 2016. 7733670 doi: 10.1109/ETFA.2016.7733670

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AB - This paper deals with estimation of thermal conductivity for temperature control of an aluminum plate considering radiative heat transfer. Aiming at accurate control results, model-based control method needs true values of plant parameters. In our previous research, the nominal values of plant parameters have been used for temperature control experiment. However, for the actual environment in industrial field, physical parameters such as thermal conductivity will change. Therefore this paper reports the estimation result of thermal conductivity of aluminum plate considering radiative heat transfer through experimental data.

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Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter

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