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

• Päätekijä: Sun, Yiming (auth)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: KIT Scientific Publishing 2016
• Sarja: Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik
• Aiheet: Technology: general issues; Bestärkendes Lernenmicrowave heating; Künstliches neuronales Netz; Mehrgrößenregelung; Mikrowellenerwärmung; multiple-input multiple-output (MIMO); Modellprädiktive Regelung; neural network; model predictive control (MPC); reinforcement learning
• Linkit: DOAB: download the publication; DOAB: description of the publication

Yhteenveto

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.

Ulkoasu

1 electronic resource (XIII, 231 p. p.)

ISBN

KSP/1000051503
9783731504672

Pääsy

Open Access