Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Material type:
ArticleSeries: Publication details: KIT Scientific Publishing 2016Description: 1 electronic resource (XIII, 231 p. p.)Content type: - text
- computer
- online resource
- 9783731504672
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- Bestärkendes Lernenmicrowave heating
- Künstliches neuronales Netz
- Mehrgrößenregelung
- Mikrowellenerwärmung
- Modellprädiktive Regelung
- model predictive control (MPC)
- multiple-input multiple-output (MIMO)
- neural network
- reinforcement learning
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In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity.
Creative Commons Licence cc by-sa cc https://creativecommons.org/licenses/by-sa/4.0/
eng
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