文献类型：期刊文献

英文题名：State estimation of a solid-state polymerization reactor for PET based on improved SR-UKF

作者：Liu, Ji[1];Gu, Xing Sheng[1]

机构：[1]E China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China

年份：2010

卷号：5

期号：2

起止页码：378

外文期刊名：ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING

收录：;EI(收录号：20101912914288);WOS:【SCI-EXPANDED(收录号:WOS:000277432700018)】；

基金：This work was supported by National Natural Science Foundation of China (Grant No. 60774078), Shanghai Commission of Science and Technology (Grant No. 08JC1408200) and Shanghai Leading Academic Discipline Project (Project No. B504).

语种：英文

外文关键词：state estimation; solid-state polymerization reactor; improved square-root unscented Kalman filter; error performance

摘要：A state estimator for the continuous solid-state polymerization (SSP) reactor of polyethylene terephthalate (PET) is designed in this study. Because of its invalidity in the application to some of the practical examples such as SSP processes, the square-root unscented Kalman filter (SR-UKF) algorithm is improved for the state estimation of arbitrary nonlinear systems with linear measurements. Discussions are given on how to avoid the filter invalidation and accumulating additional error. Orthogonal collocation method has been used to spatially discretize the reactor model described by nonlinear partial differential equations. The reactant concentrations on chosen collocation points are reconstructed from the outlet measurements corrupted with a large noise. Furthermore, the error performance of the developed ISR-UKF is investigated under the influence of various initial parameters, inaccurate measurement noise parameters and model mismatch. Simulation results show that this technique can produce fast convergence and good approximations for the state estimation of SSP reactor. (C) 2009 Curtin University of Technology and John Wiley & Sons, Ltd.