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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
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