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 on-line estimated and make it possible for achieving the advanced on-line multi-grade product quality control.