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Tomography-assisted control for the microwave drying process of polymer foams

Hosseini, Marzieh ; Kaasinen, Anna; Link, Guido 1; Aliyari Shoorehdeli, Mahdi; Lähivaara, Timo; Vauhkonen, Marko
1 Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

This paper presents the integration of electrical capacitance tomography (ECT) with a moisture controller for the microwave drying of polymer foam. The proportional–integral (PI) control and the linear quadratic Gaussian (LQG) control are employed in designing the controller. The control objective in this process is that the moisture of polymer foam after the drying process reaches the desired set point. The permittivity distribution of polymer foam after the drying process is estimated in real-time using a designed ECT sensor and transferred as feedback to the controller. Since the permittivity and the moisture are strongly correlated, the material moisture can be controlled by controlling the permittivity. A state-space model is derived for the microwave drying process based on a system identification approach using the experimental data from the process. The derived model is employed in designing the LQG controller and adjusting the parameters of the PI controller. The designed controllers are implemented on a testbed microwave oven, and the experimental results show that the designed controllers are able to follow the desired set point moisture. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000146321
Veröffentlicht am 13.05.2022
Originalveröffentlichung
DOI: 10.1016/j.jprocont.2022.03.011
Scopus
Zitationen: 5
Web of Science
Zitationen: 2
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Hochleistungsimpuls- und Mikrowellentechnik (IHM)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2022
Sprache Englisch
Identifikator ISSN: 0959-1524
KITopen-ID: 1000146321
HGF-Programm 38.03.02 (POF IV, LK 01) Power-based Fuels and Chemicals
Erschienen in Journal of Process Control
Verlag Elsevier
Band 114
Seiten 16–28
Projektinformation TOMOCON (EU, H2020, 764902)
Vorab online veröffentlicht am 23.04.2022
Nachgewiesen in Web of Science
Dimensions
Scopus
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