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5.1. Verification inHEPHAISTOS
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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
- Category
- Technik