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