Title
Non-linear Dynamic Data Reconciliation For Industrial Processes
Abstract
This paper investigates and improves a technique known as Nonlinear Dynamic Data Reconciliation (NDDR) for a real industrial process. NDDRS is a technique for data reconciliation that requires an objective function to be minimised subject to both algebraic and differential, equality and inequality constraints. These constraints are obtained from the mathematical description of the process and ensure that the measurement data can be optimised to conform as closely as possible to the true behaviour of the process. One of the difficulties of using the original NDDR is that a rigorous process dynamic model is required as a constraint. Unfortunately it is very hard to establish a rigorous dynamic model for a complex industrial process, particularly for data reconciliation purpose. A transfer function matrix model has been introduced in this new NDDR method. Therefore the rigorous dynamic model is avoided. The real industrial data from FCCU is used to illustrate the efficiency of the new NDDR method.
Year
DOI
Venue
2006
10.1109/ICSMC.2006.385149
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Keywords
Field
DocType
mathematical description,non-linear dynamic data reconciliation,nonlinear dynamic data reconciliation,fluid catalytic cracking unit (fccu),differential algebraic equations,mathematical analysis,inequality constraints,complex industrial process,data handling,differential constraints,process dynamic model,transfer function,algebraic constraints,transfer function matrix model,transfer function matrices,nonlinear dynamics,objective function,fluid catalytic cracking unit,non linear dynamics
Mathematical optimization,Nonlinear system,Algebraic number,Transfer function matrix,Control theory,Computer science,Dynamic data,Differential algebraic equation,Transfer function,Artificial intelligence,Group method of data handling,Machine learning
Conference
Volume
Issue
ISSN
6
null
null
ISBN
Citations 
PageRank 
1-4244-0100-3
1
0.39
References 
Authors
1
4
Name
Order
Citations
PageRank
Xuemin Tian1717.54
Bokai Xia210.72
Zuojun Yu310.72
Shuanghua Yang437746.40