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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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5.1. Verification inHEPHAISTOS + + + + + + + + + + + + + + + + 1 4 13 16 Figure5.8. Measuredpointsonthe load. Performfollowingtrialsat similarenvironments (the temperatureof the loadatabout30◦C, andthe temperatureof its surroundingair atabout20◦C); repeat 1 Randomlyselectmdifferentheatingsourcesandswitch them onsimultaneously for2s; 2 Calculate theoverallheatingrateusingtheequation 5.1, denotedbyRreal; for for eachselected source jdo 3 Switcheachheatingsource j for2s; 4 Calculate the individualheatingrateusingtheequation 5.1,denotedbyRj; 5 Calculate the linearlysuperposedheatingrateRlinear, suchas Rlinear= m∑ j=1 Rj. 6 Compare therealheatingrateRreal andthe linearsuperposed Rlinear. until the endof theprocess; Figure5.9. Proceduresof theverificationofheatingratesuperpositions. 141
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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