Observability of an Industrial Heating Process with Diffusion and Transportation
- Analysing observability is an important step in the process of designing state feedback controllers. While for linear systems observability has been widely studied and easy-to-check necessary and sufficient conditions are available, for nonlinear systems, such a general recipe does not exist and different classes of systems require different techniques. In this paper, we analyse observability for an industrial heating process where a stripe- shaped plastic workpiece is moving through a heating zone where it is heated up to a specific temperature by applying hot air to its surface through a nozzle. A modeling approach for this process is briefly presented, yielding a nonlinear Ordinary Differential Equation model. Sensitivity-based observability analysis is used to identify unobservable states and make suggestions for addi- tional sensor locations. In practice, however, it is not possible to place additional sensors, so the available measurements are used to implement a simple open-loop state estimator with offset compensation and numerical and experimental results are presented.
Author: | Ruven Weiss, Moritz DiehlORCiD, Johannes ReuterORCiD |
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DOI: | https://doi.org/10.1109/MMAR58394.2023.10242463 |
ISBN: | 979-8-3503-1107-5 |
Parent Title (English): | 27th International Conference on Methods and Models in Automation and Robotics (MMAR), 22-25 Aug. 2023, Międzyzdroje, Poland |
Publisher: | IEEE |
Document Type: | Conference Proceeding |
Language: | English |
Year of Publication: | 2023 |
Release Date: | 2024/01/03 |
Tag: | Observability; Nonlinear systems; Industrial heating process; Sensitivity matrix |
First Page: | 133 |
Last Page: | 138 |
Institutes: | Institut für Systemdynamik - ISD |
Relevance: | Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband) |
Open Access?: | Nein |
Licence (German): | Urheberrechtlich geschützt |