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5.3. ResultsofDifferentControlMethods
0 5 0 0 1 0 0 0 1 5 0
02
0
4 0
6 0
8 0
DT2 = 3.
0 ° C
~3
. 5° C
T a r g e
tT
1T
2T
3T
4T
5
T i m e ( s )
DT1 = 7 .
8°
C ~
8 .
5°
C
0
2 0
4 0
6 0
8 0
1 0 0
Figure5.28. Control results of nonlinear MPC using 8 heating sources (new
CA3).
(a)The second setup used in the
experiment. T1 T2
T3
T4 T5
(b)Thermalviewandthetemper-
aturesmeasured.
Figure5.29. Thesetupwith independentsmallworkpieces.
Thecontrolperformanceof thethreeaforementionedcontrolmethods
ispresented infigures 5.30.
169
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