Seite - 143 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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5.1. Verification inHEPHAISTOS
1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1
60
.0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
I n d e x o f m e a s u r e d p o i n t s
R e a l h e a t i n g r a t
eL
i n e a r s u p e r p o s e d h e a t i n g r a t
(a)Resultof4 feedingsources (No. 1−4).
1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1
60
.0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
1 .4
1 .6
1 .8
I n d e x o f m e a s u r e d p o i n t s
R e a l h e a t i n g r a t
eL
i n e a r s u p e r p o s e d h e a t i n g r a
(b)Resultsof8 feedingsources (No. 1−8).
Figure5.11. Comparison between real and linear superposed heating rates
of4(a)or8(b) feedingsourcesat16differentpoints.
when the number of feeding sources is low, particularly for cases
wheresourcesare fromdifferentmodules.
After above 3 steps, assumptions used in the grey-box modeling have
been verified and guaranteed to be accurate to a great extent. In
addition, heating patterns and corresponding heating rates obtained
from the verification experiments are quite helpful in the following
143
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
- Kategorie
- Technik