Seite - 170 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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5. ExperimentalResults
Comparing the results in figures 5.30 to the results of the first setup
(in figures 5.23 and 5.25), there are a number of obvious distinc-
tions. ForthePIDcontroller, thetemperaturewindowsareevenlarger
than the results in the first setup, which indicates that the conduction
based temperature improvement effect in the second setup is much
lower than in the first setup. Unlike the PID controller, the perfor-
mance of the linear and the nonlinear MPC methods is both better
than the results in the first setup (see figure 5.25), regarding the tem-
perature overshoot and the final temperature window aspects. For
the linear MPC, it has smaller temperature windows as well as much
lower temperature overshoot and oscillations, especially in the high
temperature range. This performance fully reflect that without extra
disturbances from the thermal conduction, the model constructed in
the equation 3.41 is more accurate and close to describe the heating
dynamics,whichresults inbettercontrol results.
For the nonlinear MPC, the performance improvement is even more
obvious than the linear MPC. That is partly because less heating
sources are used. At the same time, it profits more from the reduced
impact of the thermal conduction. In both MPC methods, the influ-
ences fromall coolingeffects includingthethermalconductioncanbe
0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0
02
0
4 0
6 0
8 0
1 0 0
1 2 0
DT2= 1 6 . 1
°C
~1 6 . 3
°C
T i m e ( s ) T a r g e
tT
1T
2T
3T
4T
5
DT1= 1 1
°C ~1 1 . 2
°C
0
2 0
4 0
6 0
8 0
1 0 0
(a)PID(newCA3,12sources).
170
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