文献类型：期刊文献

中文题名：基于约束强跟踪滤波器的动态数据协调

英文题名：Dynamic data reconciliation based on constrained strong tracking filter

作者：蒋余厂[1];刘爱伦[1]

机构：[1]华东理工大学自动化系,上海200237

年份：2011

卷号：62

期号：6

起止页码：1626

中文期刊名：化工学报

外文期刊名：CIESC Journal

收录：CSTPCD;;EI(收录号：20112614103138);Scopus;北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：国家高技术研究发展计划项目(2009AA042141)~~

语种：中文

中文关键词：动态数据协调;强跟踪滤波器;代数约束

外文关键词：dynamic data reconciliation; strong tracking filter; algebraic constraints

摘要：引言 在实际工业过程中,由于过程测量数据的不平衡性和不完备性,给过程分析和研究工作带来了很多困难,甚至失败。因此必须对过程数据进行校正,然而目前的数据校正方法大部分是面对稳态过程的，但实际情况中过程的条件更多地是处在变化之中，此时稳态数据校正方法已不能满足要求。
A new dynamic data reconciliation method based on constrained strong tracking filter was proposed.Strong tracking filter was used for dynamic data reconciliation,while algebraic constraints were embedded in strong tracking filter,not only to overcome the shortcomings of traditional extended Kalman filter which loses tracking ability for mutant state when the system reaches a steady state and cannot deal with algebraic constraints,but also to save the iterative nature of the algorithm and greatly reduce computation time of the dynamic data reconciliation with algebraic constraints.An adaptive strategy was introduced for dynamic data reconciliation of large-scale systems,which further reduced the computing time of reconciliation.Two simulations of examples proved the efficiency and superiority of the proposed algorithm.