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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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ListofFigures 1.1. Temperatureprofile comparison between conventional (left)andmicrowave(right)heating. . 2 1.2. Diagrams of two different temperature control approaches. . . . . . . . . . . . . . . . . . . . 11 2.1. Induction heating system[RLCB02]. . . . . . . . . . 16 2.2. Dipole polarizationof dielectric. . . . . . . . . . . . 18 2.3. Amplitudes ofε′andε′′atdifferent frequencies [Met96]. . . . . . . . . . . . . . . . . . . 19 2.4. Effective loss factordue to the dipole relaxationandthe ionic conduction losses [Met96]. . 21 2.5. ComparisonbetweenHEPHAISTOS(a)and anautoclave (b). . . . . . . . . . . . . . . . . . . . . . 22 2.6. Schematicsetup ofHEPHAISTOS [Feh09]. . . . . . 22 2.7. Structures ofa normalmicrowave heatingsystem. . 23 2.8. Powerversus frequency performanceof different solid-statedevices and microwave tubes [Tre05]. . . . . . . . . . . . . . . . . . . . . . . . 24 2.9. PhotosofMagnetronused in practice (a)and its cross-section (b). . . . . . . . . . . . . . . . . . . . 25 2.10. Powersupplies used in the newly updated HEPHAISTOS cavity 3. . . . . . . . . . . . . . . . . . 25 2.11. Hollowmetalwaveguides [web]. . . . . . . . . . . . 26 2.12. TheWR-340 waveguide (a)andslotted waveguide (b)used inHEPHAISTOS . . . . . . . . 27 2.13. Cross sectionstructure ofHEPHAISTOS. . . . . . . 30 2.14. Diagram of the process control system. . . . . . . . . 31 2.15. Labview based control interface. . . . . . . . . . . . 32 2.16. Remotecontrol interface ofHEPHAISTOS. . . . . . 32 ix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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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