Seite - 42 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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3. ModelingMicrowaveHeating
Net amount of
absorbed powerPab = DissipatedpowerduetoheatconvectionPcv
+ Dissipatedpowerduetoheat radiationPrd
+ Dissipated/heatingpowerduetoheat
conductionPcd
+ MicrowaveheatingpowerPmw.
(3.1)
Each element in the above equation can be calculated as follow-
ing.
• Netamountofabsorbedpower
The net amount of absorbed powerPabwithin this unit cell is rep-
resentedby[LNS04]
Pab=ρcp dT
dt · l3, (3.2)
with
ρ : massdensity,kg/m3
cp : specificheatperunitmassatconstantpressure,J/(K ·kg)
• Dissipatedpowerduetoheatconvection
The power flux density of convective heat transfer pcv (W/m2) is
givenbyNewton’sLawofcooling[Win99], suchas
pcv= −h(T−Ta), (3.3)
whereT−Ta is the temperature difference between the load and
the surrounding air flow (Ta). The parameterh is the convection
heat transfercoefficient (W/ (
m2 ·K)),which isdeterminedbythe
geometryoftheload, thevelocityoftheairflow,theangelbetween
the surface and air flow and other elements. The negative sign
42
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