Seite - V - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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σ′ Stefan-Boltzmannconstant W/ (
m2 ·K4)
h Convectionheat transfer
coefficient W/ (
m2 ·K)
% Emissivityof thesurfaceof the
heated load unitless
In the mathematical modeling and control parts (chapter 3 and 4),
scalars are represented by non-bold symbols. Vectors are represented
by bold symbols, and matrices are represented by bold symbols with
brackets.
l Lengthofunit cell m
pcd Dissipated/heatingpowerdensity
byconduction W/m3
pcv Dissipatedpowerdensityby
convection W/m2
prd Dissipatedpowerdensityby
radiation W/m2
pmw Microwaveheatingpowerdensity W/m3
Pcd Dissipated/heatingpowerby
conduction W
Pcv Dissipatedpowerbyconvection W
Prd Dissipatedpowerbyradiation W
Pmw Microwaveheatingpower W
Ta Ambient temperature K
Y Temperaturedifferencebetween
the loadandambientair K
T Temperaturevectorof theheated
load K
Y Temperaturedifferencevector K
U Powerportionvector unitless
V Amplitudeportionvector unitless
P Dissipated/heatingpowervector unitless
v
ListofSymbols
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