DocumentCode :
2296876
Title :
Multi-grade resin quality adaptive estimation for gas-phase polyethylene process
Author :
Zhong Zhao ; Chuan Hu ; Yang Liu
Author_Institution :
Dept. of Autom., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
2838
Lastpage :
2843
Abstract :
A major difficulty affecting the control of product quality in industrial polymerization reactors is the lack of suitable on-line polymer property measurements. In this article, a parameter updating law is deduced based on the predictive model of industrial polyethylene process resin quality. According to the off-line lab analytical data, an asymptotic tracking state observer design method is proposed to update the estimation of resin quality and predictive model parameter. The application results with the proposed method to an industrial plant verified the feasibility and effectiveness. With the proposed method, polymer properties of industrial polyethylene process can be on-line estimated and make it possible for achieving the advanced on-line product quality control.
Keywords :
adaptive estimation; chemical reactors; industrial plants; polymerisation; polymers; product quality; quality control; resins; asymptotic tracking state observer design method; gas-phase polyethylene process; industrial plant; industrial polyethylene process; industrial polymerization reactors; multigrade resin quality adaptive estimation; offline lab analytical data; online polymer property measurements; online product quality control; parameter updating law; polymer properties; predictive model parameter; Convergence; Equations; Mathematical model; Observers; Polyethylene; Predictive models; back stepping; grade transition; neural dynamics; state observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358354
Filename :
6358354
Link To Document :
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