The study of the decoupling control in a rectifying tower based on neural networks

Author

Hao, Li-jun ; Xue, Zeng-tao ; Wang, Zhi-hong

Author_Institution

Coll. of Electr. & Inf., Hebei Univ. of Sci. & Technol., Shijiazhuang

Volume

4

fYear

2008

fDate

12-15 July 2008

Firstpage

2170

Lastpage

2174

Abstract

It is analyzed that coupling relations among each variable in the operating processes of a rectifying tower in which BP neural network is applied for the temperature of decoupling control according to dynamic characteristics of multivariate, nonlinear and strong coupling system. Based on traditional PID controls we have suggested a new control algorithm of BP neural networks with decouple network ahead of adjuster and then, an intelligent controller with decoupling ability is made up. The result of simulating tests shows that this algorithm is provided with good control effects.

Keywords

backpropagation; intelligent control; neurocontrollers; nonlinear control systems; petrochemicals; three-term control; BP neural network; PID controls; coupling system; decoupling control; intelligent controller; multivariate system; neural networks; nonlinear system; rectifying tower; Control systems; Couplings; Intelligent networks; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Poles and towers; Temperature control; Testing; Three-term control; BP neural network; Decoupling control; Multivariate system; Rectifying tower;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620765

Filename

4620765