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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Sun, Yiming
2016
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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.
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Keywords
- Bestärkendes Lernenmicrowave heating
- Künstliches neuronales Netz
- Mehrgrößenregelung
- Mikrowellenerwärmung
- model predictive control (MPC)
- Modellprädiktive Regelung
- multiple-input multiple-output (MIMO)
- Neural Network
- reinforcement learning
- Technology, engineering, agriculture
- Technology: general issues
Links
DOI: 10.5445/KSP/1000051503Editions