Polymer properties on-line estimation for gas-phase polyethylene based on particle filtering joint estimation

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.