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1. Introduction
1.2.2. Numericalsimulations
Numerical simulation is preferred for more complicated scenarios
where analytical solutions are not feasible. The idea of numerical
simulation is to separate the original problem into a number of small
parts, solve different parts individually and finally merge results of
all small parts into the solution of the original problem. During the
last 20 years, the rapid development of powerful computers has led
to more and more implementations of numerical analysis for solving
complex electrodynamics problems. Common numerical simulation
methods used for modeling microwave heating scenarios consist of
the finite-difference time-domain (FDTD) method, the finite-volume
time-domain (FVTD) method, the finite element method (FEM), the
method of moments (MoM), as well as the transmission line matrix
(TLM) method. Detailed introductions of above methods exceed the
scope of this dissertation, and they can be found in a large number of
booksandpaperssuchas [KL93] [LNS04] [DLT12] [Chr05].
Numerical simulation is used not to directly control the microwave
heating, but to help improve the heating homogeneity. The principle
is to firstly use numerical techniques to simulate and estimate the EM
field as well as the temperature distributions within the microwave
cavity, and then to optimize the heating homogeneity according to
the simulation results using some auxiliary approaches. For example,
in [CZ05] and [SCV+10], FDTD methods were used to simulate tem-
peratureprofilesofmicrowaveheating inone-dimensionalandthree-
dimensional scenarios, and the thermal runaway phenomenon can be
prevented based on the simulation. In [GRD07] FEM was applied
to estimate the temperature distribution of the food within the mi-
crowave oven in case of a rotating turntable. Afterwards the rotating
speedandtimeoftheturntablecanbeoptimizedbasedonthesimula-
tionresults. Hence, theoverall temperatureuniformitywasenhanced.
Similarly, the influences of mode stirrers to the EM field distribution
were simulated using FEM in [PGMCCCSH04]. The angle of mode
stirrers was determined with the help of simulation results and the
temperature distribution was also improved. More examples of us-
ing numerical simulations to improve the performance of microwave
heatingcanbefoundin[PS91] [FR93] [YG04] [GY07] [HM96].
8
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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
- Category
- Technik