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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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2.2. StructureofHEPHAISTOS log f ε'' e 7 8 9 10 ε'' σd ωε0 2.45 GHz915 MHz Figure2.4. Effective loss factor due to the dipole relaxation and the ionic con- duction losses [Met96]. 2.2. StructureofHEPHAISTOS HEPHAISTOS is a giant microwave heating system equipped with spatially distributed feeding sources (see figure 2.5). The size of a standard HEPHAISTOS module is about 180 cm×155 cm×110 cm, which is comparable to large industrial autoclaves (such as in figure 2.5b) and much larger than other microwave heating systems used anywhere else [lar]. More important, multiple HEPHAISTOS mod- ules can be integrated into one large heating system, which is flexible todealwith large-scaleworkpieces. Compared with other microwave heating systems, HEPHAISTOS is much more complex. It not only has a complicated hardware structure, but also consists of a sophisticated process control system and combined temperature measurement techniques. In general, the wholeHEPHAISTOSsystemcanbedividedintothreeparts, indicated bythreedifferentcolors infigure 2.6. Thesethreepartsareintroduced in the followingof thischapter. 21
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Title
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Author
Yiming Sun
Publisher
KIT Scientific Publishing
Location
Karlsruhe
Date
2016
Language
English
License
CC BY-SA 3.0
ISBN
978-3-7315-0467-2
Size
14.8 x 21.0 cm
Pages
260
Keywords
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