D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process
Joint Authors
Gao, Shu-zhi
Yang, Jing
Wang, Jie-sheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
PVC stripping process is a kind of complicated industrial process with characteristics of highly nonlinear and time varying.
Aiming at the problem of establishing the accurate mathematics model due to the multivariable coupling and big time delay, the dynamic fuzzy neural network (D-FNN) is adopted to establish the PVC stripping process model based on the actual process operation datum.
Then, the PVC stripping process is decoupled by the distributed neural network decoupling module to obtain two single-input-single-output (SISO) subsystems (slurry flow to top tower temperature and steam flow to bottom tower temperature).
Finally, the PID controller based on BP neural networks is used to control the decoupled PVC stripper system.
Simulation results show the effectiveness of the proposed integrated intelligent control method.
American Psychological Association (APA)
Gao, Shu-zhi& Yang, Jing& Wang, Jie-sheng. 2014. D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-490044
Modern Language Association (MLA)
Gao, Shu-zhi…[et al.]. D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-490044
American Medical Association (AMA)
Gao, Shu-zhi& Yang, Jing& Wang, Jie-sheng. D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-490044
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490044