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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.

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Metadaten
Author:Ruven Weiss, Moritz DiehlORCiD, Johannes ReuterORCiD
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):License LogoUrheberrechtlich geschützt