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5.3. ResultsofDifferentControlMethods
Time
Temperature
75°C
100°C
8°C/min
Figure5.22. Illustrationof the target temperaturecurve.
0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0 0 3 0 0
02
0
4 0
6 0
8 0
1 0 0
1 2 0
DT2 = 1 3 . 8 ° C ~ 1 4 ° C
T i m e ( s ) T a r g e
tT
1T
2T
3T
4T
5
DT1 = 8 . 9 ° C ~ 9 . 1 ° C
0
2 0
4 0
6 0
8 0
1 0 0
Figure5.23. Control performance of PID control method (new cavity 3, 12
sources).
are slightly smaller than the value in the beginning, that is due to the
combined thermal conduction effect of the aluminum plate and the
workpiece itself. The PID controller itself does not have the ability to
reduce the temperature window and improve the temperature distri-
bution. It should be noted that the second temperature window ∆T2
161
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book Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources"
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