Modeling of Distillation Tower Temperature Based on D-FNN

Shu Zhi Gao; Jing Yang; Jun Fan

doi:10.4028/www.scientific.net/AMR.383-390.1463

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Modeling of Distillation Tower Temperature Based...

Modeling of Distillation Tower Temperature Based on D-FNN

Abstract:

Distillation temperature control system is characteristics of nonlinear time-varying and we use dynamic fuzzy neural network to model the temperature of distillation. Firstly, we introduce the structure and algorithm of dynamic fuzzy neural network; Second, after data preprocessing of distillation process, we use dynamic Fuzzy neural network modeling the temperature of distillation. Dynamic fuzzy neural network adopt dynamic learning algorithm, and characteristic of approximation. The simulation results show the effect and accuracy of Dynamic fuzzy neural network model ing method.

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Manufacturing Science and Technology, ICMST2011

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

1463-1469

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.1463

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Online since:

November 2011

Authors:

Shu Zhi Gao, Jing Yang, Jun Fan

Keywords:

Distillation Tower, Dynamic Fuzzy Network, Modeling

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