A New Method to Solve Robust Data Reconciliation in Nonlinear Process  

求解非线性化工过程鲁棒数据校正的新方法

作　　者：周凌柯 苏宏业 褚健 

机构地区：[1]Department of Automation, Nanjing University of Science ＆ Technology, Nanjing 210094, China [2]Institute of Advanced Process Control, Zhejiang University, Hangzhou 310027, China

出　　处：《Chinese Journal of Chemical Engineering》2006年第3期357-363,共7页中国化学工程学报（英文版）

基　　金：Supported by the Funds for 0utstanding Young Researchers from the National Natural Science Foundation of China （No.60025308） and the Key Technologies R＆D Program in the National ＂10th 5-year Plan＂ （No.2001BA204B07）.

摘　　要：Data reconciliation is an effective technique for providing accurate and consistent value for chemical process. However, the presence of gross errors can severely bias the reconciled results. Robust estimators can significantly reduce the effect of gross errors and yield less-biased results. In this article, a new method is proposed to solve the robust data reconciliation problem of nonlinear chemical process. By using several technologies including linearization method, penalty function, virtual observation equation, and equivalent weights method, the robust data reconciliation problem can be transformed into least squares estimator problem which leads to the convenience in computation. Simulation results in a nonlinear chemical process demonstrate the efficiency of the proposed method.

关 键 词：data reconciliation robust estimator equivalent weights method 

分 类 号：TQ021[化学工程]