Title :
Polymer properties on-line estimation for gas-phase polyethylene based on particle filtering joint estimation
Author :
Zhao, Zhong ; Cui, Min
Author_Institution :
Dept. of Autom., Beijing Univ. of Chem. Technol., Beijing, China
Abstract :
Due to the lack of suitable on-line polymer property measurements, the control of multi-grade product quality in industrial polymerization reactors is difficult. In this article, a predictive model of polymer properties is deduced for industrial polyethylene process by combining the first principle model and the feature modeling scheme. Combining the extended Kalman filtering, a method of design the particle filtering joint estimation is proposed to update the estimation of polymer properties based on the off-line lab analysis data in this article. The application results of the proposed method to an industrial gas-phase polyethylene plant have verified its effectiveness and feasibility. With the proposed method, multi-grade polymer properties of industrial gas-phase polyethylene process can be online estimated and make it possible for achieving the advanced on-line multi-grade product quality control.
Keywords :
Kalman filters; chemical engineering computing; chemical reactors; particle filtering (numerical methods); polymerisation; polymers; production engineering computing; quality control; extended Kalman filtering; gas phase polyethylene process; industrial polymerization reactors; multigrade product quality control; online polymer property measurements; particle filtering joint estimation; polymer properties online estimation; Estimation; Filtering; Inductors; Joints; Polyethylene; Predictive models; feature modeling; joint estimation; particle filtering; polyethylene;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
DOI :
10.1109/WCICA.2011.5970565
