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 proceedingConference contribution

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 languageEnglish
Title of host publication2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2016-November
ISBN (Electronic)9781509013142
DOIs
Publication statusPublished - Nov 3 2016
Event21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016 - Berlin, Germany
Duration: Sep 6 2016Sep 9 2016

Other

Other21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
CountryGermany
CityBerlin
Period9/6/169/9/16

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Estimation of thermal conductivity for model with radiative heat transfer by extended Kalman filter'. Together they form a unique fingerprint.

Cite this