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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
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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Technik
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources