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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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ListofFigures 5.1. Thesetup used inverificationexperiments. . . . . . 134 5.2. Procedures to test theheatingpatternsof single source. . . . . . . . . . . . . . . . . . . . . . . 135 5.3. HeatingpatternsofsourceNo. 3 (newCA3)at different time of the sametrial. . . . . . . . . . . . . 136 5.4. HeatingpatternsofsourceNo. 3 (newCA3)at the sametime of different trials. . . . . . . . . . . . . 136 5.5. Heating ratescomparisonof3 trialsduring the first two seconds. . . . . . . . . . . . . . . . . . . 137 5.6. Heating patterns (a,b, c)andrates (d)of source No. 1 and 5at 3different trials. . . . . . . . . 138 5.7. Heating patterns (a,b, c)andrates (d)of12 sources (from1 to 12)at 3 different trials. . . . . . . 140 5.8. Measuredpoints onthe load. . . . . . . . . . . . . . 141 5.9. Procedures of theverificationofheatingrate superpositions. . . . . . . . . . . . . . . . . . . . . . 141 5.10. Comparisonbetweenreal andlinear superposedheating rates of2sources (No. 1 and 2) at16different points. . . . . . . . . . . . . . . 142 5.11. Comparisonbetweenreal andlinear superposedheating rates of4 (a)or8 (b) feedingsourcesat16 different points. . . . . . . . . 143 5.12. ComparisonofHeating patterns (a,b, c)and rates (d) ofNo. 3 and7. . . . . . . . . . . . . . . . . . 144 5.13. One-step predictionperformance of four different systemidentificationalgorithms. . . . . . . 148 5.14. Validationofeachalgorithmusingdataof anotherexperiment. . . . . . . . . . . . . . . . . . . . 149 5.15. One-step predictionresultsof threealgorithms. . . . 152 5.16. Validationresultsof three algorithms. . . . . . . . . 153 5.17. Heating process ( from (a) to (d) )with the setupofaluminumplate. . . . . . . . . . . . . . . . . 155 5.18. Thesetup with the teflonplate. . . . . . . . . . . . . 156 5.19. Heating process ( from (a) to (d) )with the setupof teflonplate. . . . . . . . . . . . . . . . . . . 157 5.20. Deformationof the teflonplate (no contact between the plateand metal table). . . . . . . . . . . 158 5.21. Picture of theworkpieceandmeasured temperatures. . . . . . . . . . . . . . . . . . . . . . . 160 xi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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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