Modeling and temperature control of a moving substrate
- This paper describes the development of a control system for an industrial heating application. In this process a moving substrate is passing through a heating zone with variable speed. Heat is applied by hot air to the substrate with the air flow rate being the manipulated variable. The aim is to control the substrate’s temperature at a specific location after passing the heating zone. First, a model is derived for a point attached to the moving substrate. This is modified to reflect the temperature of the moving substrate at the specified location. In order to regulate the temperature a nonlinear model predictive control approach is applied using an implicit Euler scheme to integrate the model and an augmented gradient based optimization approach. The performance of the controller has been validated both by simulations and experiments on the physical plant. The respective results are presented in this paper.
Author: | Ruven Weiß, Moritz DiehlORCiD, Harald Rieger, Johannes ReuterORCiD |
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DOI: | https://doi.org/10.1016/j.ifacol.2021.08.547 |
Parent Title (English): | 7th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2021), 11-14 July 2021, Bratislava, Slovakia, (IFAC-PapersOnLine, Volume 54, Issue 6) |
Volume: | 54 |
Publisher: | Elsevier |
Document Type: | Conference Proceeding |
Language: | English |
Year of Publication: | 2021 |
Release Date: | 2022/01/17 |
Tag: | Model Predictive Control; Onvective heating; Thermal model; Optimization |
Issue: | 6 |
First Page: | 212 |
Last Page: | 217 |
Institutes: | Institut für Systemdynamik - ISD |
Open Access?: | Ja |
Relevance: | Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband) |
Licence (German): | Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |