KIT | KIT-Bibliothek | Impressum | Datenschutz

System identification of conveyor belt microwave drying process of polymer foams using electrical capacitance tomography

Hosseini, Marzieh; Kaasinen, Anna; Shoorehdeli, Mahdi Aliyari; Link, Guido; Lähivaara, Timo; Vauhkonen, Marko


The microwave drying process has a wide application in industry, including drying polymer foams after the impregnation process for sealings in the construction industry. The objective of the drying process is to reach a certain moisture in the foam by adjusting the power levels of the microwave sources. A moisture controller can be designed to achieve this goal; however, a process model is required to design model-based controllers. Since complex physics governs the microwave drying process, system identification tools are employed in this paper to exploit the process input and output information and find a simplified yet accurate model of the process. The moisture content of the foam that is the process output is measured using a designed electrical capacitance tomography (ECT) sensor. The ECT sensor estimates the 2D permittivity distribution of moving foams, which correlates with the foam moisture. Experiments are conducted to collect the ECT measurements while giving different inputs to the microwave sources. A state-space model is estimated using one of the collected datasets and is validated using the other datasets. The comparison between the model response and the actual measurements shows that the model is accurate enough to design a controller for the microwave drying process.

Verlagsausgabe §
DOI: 10.5445/IR/1000139735
Veröffentlicht am 12.11.2021
DOI: 10.3390/s21217170
Zitationen: 5
Web of Science
Zitationen: 5
Zitationen: 6
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1424-8220
KITopen-ID: 1000139735
HGF-Programm 38.03.02 (POF IV, LK 01) Power-based Fuels and Chemicals
Erschienen in Sensors
Verlag MDPI
Band 21
Heft 21
Seiten 7170
Projektinformation TOMOCON (EU, H2020, 764902)
Schlagwörter microwave drying; modeling; system identification; industrial tomography; electrical capacitance tomography
Nachgewiesen in Dimensions
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page