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Continuous-time identification of grey-box and black-box models of an industrial oven

Authors :
Previtali, Davide
Scandella, Matteo
Pitturelli, Leandro
Mazzoleni, Mirko
Ferramosca, Antonio
Previdi, Fabio
Source :
IFAC-PapersOnLine; January 2024, Vol. 58 Issue: 15 p175-180, 6p
Publication Year :
2024

Abstract

The design of temperature controllers is impaired by the limited accuracy of the models employed for thermal systems, which are commonly estimated from uninformative data, such as step responses, due to the restrictive experimental design connected to the long duration of the experiments. This paper focuses on modelling an industrial convection oven following different rationales. Three continuous-time models are proposed and compared: a grey-box parametric thermal network model, a black-box parametric first order lag plus time delay model, and a black-box non-parametric model based on reproducing kernel Hilbert spaces. These are all estimated and validated on step response experimental data. Lastly, the pros and cons of each model are highlighted.

Details

Language :
English
ISSN :
24058963
Volume :
58
Issue :
15
Database :
Supplemental Index
Journal :
IFAC-PapersOnLine
Publication Type :
Periodical
Accession number :
ejs67435722
Full Text :
https://doi.org/10.1016/j.ifacol.2024.08.524