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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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2. Introductionof HEPHAISTOS In this chapter, the distributed microwave heating system HEPHAIS- TOS will be introduced in detail. In the beginning, the principles of electromagnetic heating is addressed. Then the components of HEP- HAISTOS, including the microwave heating system, the process con- trol system and the temperature measurement system, are explained onebyone. 2.1. ElectromagneticHeating Almosteverythingintherealworld,exceptaperfectconductororper- fect insulator, canbeheatedwithinanelectromagneticfield. Basedon different kinds of materials, the electrical heating techniques can be dividedintoseveraldifferentclasses, includingohmicheating, induc- tionheatinganddielectricheating. 2.1.1. OhmicHeating Ohmic heating, also known as Joule heating [GC99], is a basic electri- calheatingmechanism. Whenadirectcurrent(DC)oralternatingcur- rent (AC) flow passes through a conductor or semiconductor, a frac- tion of the electrical energy is transformed into thermal energy due to electrical resistance, and therefore the heat is generated. The amount of heating powerPohmic is proportional to the square of the current I, suchas Pohmic= I ·V = I2 ·R= V 2 R , (2.1) 15
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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