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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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3.2. Grey-boxModeling indicates the heat is flowing from the load to the surrounding air. According to equation 3.3, the dissipated power due to the heat convectionPcv canbecalculatedas Pcv=pcv · l2= −h(T−Ta) · l2, (3.4) where l2denotestheareaofthecontactingsurfacebetweenthecell andthesurroundingair. • Dissipatedpowerduetoheat radiation The maximum radiation flux density prd from a black surface is definedbytheStefan-BoltzmannLaw[LNS04],which is prd= −σ′T4, (3.5) whereσ′= 5.669×10−8W/(m2 ·K4) is theStefan-Boltzmanncon- stant. But in practice for a setup as in figure 3.1 with a non-black surface,wheretheloadiscompletelysurroundedbyamuchlarger volume of air, the flux density prd can be also calculated by the equation[LNS04] prd= −%σ′(T4−T4a), (3.6) where% is the emissivity of the surface (0≤%≤ 1, 1 for black sur- face), indicating the radiation ability of the material [Sie01]. The dissipatedpowerduetotheheatradiationPrdcanbesimilarlyrep- resentedas Prd=prd · l2= −%σ′(T4−T4a) · l2. (3.7) • Dissipated/heatingpowerduetoheatconduction According to aforementioned assumptions 1 and 2, the provided or dissipated power by the heat conduction can be decomposed into thecomponents in thex- andy-directions [LNS04], suchas Pcd= ∂ ∂x ( κxl 2∂T ∂x ) · l+ ∂ ∂y ( κyl 2∂T ∂y ) · l, (3.8) where κx and κy indicate thermal conductivities in the x- or y- direction,respectively. Iftheheatedloadhasthesamethermalcon- ductivity in different directions likeκx = κy = κ, then the above 43
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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