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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
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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
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources