Improved CMAC Neural Network Control for Superheated Steam Temperature

Li Jun Chen; Bo Sun; Jian Chao Diao; Li Li Zhao

doi:10.4028/www.scientific.net/AMR.383-390.111

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Improved CMAC Neural Network Control for...

Improved CMAC Neural Network Control for Superheated Steam Temperature

Abstract:

Aiming at that superheated steam temperature system exists the large inertia and large time delay of the dynamic characteristics,and the converge speed of the conventional CMAC neural network is not fast enough to the real-time system, a credit assignment CMAC (CA-CMAC) neural network control is adopted in superheated steam temperature control system, which is proposed to speed up the learning process in CMAC. The simulation of the superheated steam temperature control system shows that CA-CMAC converges faster than the conventional CMAC. This result illustrates the effectiveness of this method.

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

111-117

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.111

Citation:

Cite this paper

Online since:

November 2011

Authors:

Li Jun Chen, Bo Sun, Jian Chao Diao, Li Li Zhao

Keywords:

CMAC, Credit Assignment, Simulate, Superheated Steam Temperature Control

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