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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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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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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
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Technik
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources