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2.2. StructureofHEPHAISTOS
2.2.2. ProcessControlSystem
The process control system of HEPHAISTOS mainly contains two
parts, including a LabVIEW [lab] [TK06] based control interface and
another MATLAB [mat] [EEE97] based temperature control system.
The whole diagram of the process control system is shown in figure
2.14.
HEPHAISTOS
Cavity
LabVIEW based
Control Interface
Remote Control
Interface (via TCP/
IP)
MATLAB based
Temperature Control
Functions PC
1PC
2 Measured
temperatures
Temperatures and
other required data
Temperatures and
other required data
Calculated control
inputCalculated
control
inputCalculated
control input
Figure2.14. Diagramof theprocesscontrol system.
The LabVIEW based control interface directly communicates with the
HEPHAISTOS cavity using INTERBUS [FT88] (used in the current
HEPHAISTOS cavity) or PROFINET [JF05] (used in the Hybrid HEP-
HAISTOS cavity [Gmb14]) serial protocol. It receives the measured
temperaturevaluesfromthecavity(orfromtheinfraredcamerainthe
other case), and sends different parameter settings and commands to
the cavity, like the control input, heating time, and target temperature
value. Simple temperature control schemes, such as manual control
(manually set power of each source) and PID control, can be directly
realized in the LabVIEW using its VIs [lab] and toolboxes. The front
panelof the interface isdemonstrated infigure 2.15.
For more complicated temperature control methods, such as all the
adaptive and the intelligent control methods aforementioned, they
have to be called from a remote MATLAB based control system. That
isbecauseLabVIEWasagraphicalprogramminglanguage isnoteffi-
cient to deal with high dimensional matrix computation tasks, which
are easily to be done in MATLAB. These two parts are running in dif-
ferent PCs in order to guarantee the sufficient computation resources
for both of them. During the heating process, they communicate
31
through a remote control interface, which is shown in figure 2.16.
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book Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources"
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