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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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Microwave heating provides an energy effi cient and promising alternative to conventional industrial heating approaches. Microwave heating has the volumetric heat- ing capability, which means it penetrates into the object. Surface and interior can be heated simultaneously. Com- pared with convectional heating both, process time and energy consumption can be signifi cantly reduced using microwave heating. However, the non-uniform tempera- ture distribution is always an issue that limits the imple- mentation of microwave heating in industry applications. In order to improve the temperature homogeneity and enhance the applicability of microwave heating, an inno- vative real-time microwave control technique is proposed in this work. Different control structures have been devel- oped and compared, to automatically adjust the power levels of spatially distributed microwave feeding anten- nas. By doing that, the electromagnetic (EM) fi eld within the microwave chamber will be actively optimized, and hence, the corresponding temperature distribution will be improved. Yiming Sun graduated from the University of Bremen in 2012 in the fi eld of Communication and Information Tech- nology. In 2012 he joined the Institute for Pulsed Power and Microwave Technology (IHM) as Ph.D. candidate and the Institute for Data Processing and Electronics (IPE) as research assistant at the Karlsruhe Institute of Technology (KIT). In 2015 he fi nished his doctoral dissertation with distinction. His major research interests are electromag- netic theory, control system design, mathematical mod- eling and machine learning. ISSN 2192-2764 ISBN 978-3-7315-0467-2 Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik Herausgeber: Prof. Dr.-Ing. John Jelonnek 9 783731 504672 ISBN 978-3-7315-0467-2
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Titel
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Autor
Yiming Sun
Verlag
KIT Scientific Publishing
Ort
Karlsruhe
Datum
2016
Sprache
englisch
Lizenz
CC BY-SA 3.0
ISBN
978-3-7315-0467-2
Abmessungen
14.8 x 21.0 cm
Seiten
260
Schlagwörter
Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources