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2. IntroductionofHEPHAISTOS
tion altering of the external electric field is so high that the dipole
re-orientation fails to follow. As a consequence the friction becomes
smallerandthegeneratedheat isalso less.
External electric field E
+
-
-
+
-
+
- Dielectric material
+
- + -
+ -
+
Dipole
Figure2.2. Dipolepolarizationofdielectric.
The above interpretation was firstly formulated by the physicist Peter
Debye [Aru10], using the well-known complex permittivity equation
[GC99], suchas
ε(ω) =ε′(ω)− jε′′(ω) =ε∞+ εs−ε∞
1+jωτ , (2.2)
where ε(ω) is the complex permittivity of a dielectric as a function of
angular frequencyω = 2pif, ε′(ω) and ε′′(ω) are the real and imagi-
nary part of ε(ω) respectively. The parameter εs is the permittivity of
the material at low frequencies, ε∞ is the permittivity of the material
at very high frequencies. The relaxation time τ represents the time
of form and decay of the polarization within the dielectric when the
externalelectricfield isappliedandvanishedrespectively.
Fromtheaboveequation, it canbederivedthat
ε′=ε∞+ εs−ε∞
1+(ωτ)
2 ,
ε′′= ωτ (εs−ε∞)
1+(ωτ)
2 . (2.3)
18
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