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2. IntroductionofHEPHAISTOS
whereR is the electrical resistance of the object andV is the voltage
across it. Ohmic heating is widely implemented in various industrial
applications, includingfoodprocessing[DAF90]andequipmentman-
ufacture (electric stove,electricheater) [WCJ+12].
2.1.2. Inductionheating
Induction heating is used for heating conducting materials (mostly
metals). A conventional induction heating system is shown in fig-
ure 2.1. An alternating current passes through the induction coil
and generates a time-variant magnetic field surrounding the coil. The
magnetic field has the same frequency as the alternating current and
it will induce eddy currents [RLCB02] within the conducting mate-
rial that is inserted in the coil. Heat is generated by the eddy cur-
rents due to the ohmic heating effect (such as in equation 2.1). The
frequency of AC power supply of induction heating is selected de-
pending on the size of the workpiece to be heated. Heating smaller
workpiecesrequireshigheroperatingfrequencies. Largerpartscanbe
processed with lower operating frequencies. Normally the frequency
ranges from5kHzto500kHz. Detailsabout inductionheatingcanbe
foundin[Mer98] [RLCB02]and[RP06].
Coil
Current in the
coil
Induced
current Magnetic field
Figure2.1. Inductionheatingsystem[RLCB02].
16
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