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3.2. Grey-boxModeling
Approximationsof themicrowaveheatingterm
Compared with the heat loss part, the approximation of the mi-
crowave heating term is more difficult, because of the complex mi-
crowaveheatingpowersuperpositions. Ingeneral, therearetwotypes
of microwave power superposition principles. The first power su-
perposition principle corresponds to the situation when the EM fields
from different sources are incoherent. In this case, the instantaneous
microwave heating power of each source is varying, but the aver-
age heating power is constant. Therefore the superposed heating
power is equivalent to the addition of heating power of individual
sources.
For instance, assuming there are two microwave heating sources, the
electric fields from two sources at the same locationn are −→
En,1
and−→
En,2, respectively. Theheatingpowerfromthetwosourcesarerepre-
sentedby
Pn,1mw∝ ∥∥−→En,1∥∥2, Pn,2mw∝∥∥−→En,2∥∥2.
Thenthesuperposedheatingpower [BPJD99] is
Pnmw=P n,1
mw+P n,2
mw∝ ∥∥−→En,1∥∥2+∥∥−→En,2∥∥2. (3.16)
For HEPHAISTOS, considering multiple heating sources and control-
lable feeding power, the total effective microwave heating power at
the locationncanbewrittenas
Pnmw= M∑
m=1 umP n,m
mw , (3.17)
whereum (1≤m≤M) stands for the portion of heating power from
them-thfeedingsourceandPn,mmw isthemaximumheatingpowerfrom
them-thsourcetothen-thlocation. Theaboveequation 3.17isrewrit-
ten inamatrixmultiplicationformas
Pnmw=P n
mwU, (3.18)
with
U := [u1, u2, . . ., uM]
T,
Pnmw := [P n,1
mw, P n,2
mw, . . ., P n,M
mw ],
47
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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