Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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Beschreibung
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.
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.
Autor*in
Yiming Sun
Themen in »Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources«
Mikrowellenerwärmung model predictive control (MPC) neural network Bestärkendes Lernen microwave heating Mehrgrößenregelung Künstliches neuronales Netz Modellprädiktive Regelung reinforcement learning multiple-input multiple-output (MIMO)