System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
Autor: | Marko Vauhkonen, Guido Link, Marzieh Hosseini, Mahdi Aliyari Shoorehdeli, Timo Lähivaara, Anna Kaasinen |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Technology
Conveyor belt Electrical capacitance tomography TP1-1185 01 natural sciences Biochemistry Article GeneralLiterature_MISCELLANEOUS Analytical Chemistry 010309 optics 0404 agricultural biotechnology 0103 physical sciences Electrical and Electronic Engineering Process engineering Instrumentation Engine coolant temperature sensor system identification industrial tomography Moisture microwave drying modeling electrical capacitance tomography business.industry Chemical technology System identification Process (computing) 04 agricultural and veterinary sciences 040401 food science Atomic and Molecular Physics and Optics Process output business ddc:600 Microwave |
Zdroj: | Sensors, Vol 21, Iss 7170, p 7170 (2021) Sensors, 21 (21), 7170 Sensors (Basel, Switzerland) Sensors Volume 21 Issue 21 |
ISSN: | 1424-8220 |
Popis: | 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. |
Databáze: | OpenAIRE |
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