A study of nonlinear dynamic data reconciliation

Author

Zhou, Lingke ; Su, Hongye ; Chu, Jian

Author_Institution

Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China

Volume

2

fYear

2004

fDate

10-13 Oct. 2004

Firstpage

1360

Abstract

Data reconciliation is based on spatial redundancy to adjust process data to improve the quality of measurement corruption due to measurement noise. Based on the analysis of characteristic of moving window, we proposed in this paper to use temporal redundancy in nonlinear dynamic data reconciliation to improve accuracy of reconciled value. The reconciled value by using the proposed approach is closer to true data compared with the reconciled value by using the conventional method. The mathematical formulation of outlier detection strategy is given in this paper also. Simulation results on a continuous stirred tank reactor (CSTR) process verified its effectiveness.

Keywords

nonlinear dynamical systems; nonlinear estimation; process control; redundancy; continuous stirred tank reactor process; measurement corruption; measurement noise; moving window strategy; nonlinear dynamic data reconciliation; outlier detection strategy; reconciled value; spatial redundancy; temporal redundancy; Continuous-stirred tank reactor; Differential equations; Dynamic programming; Finite element methods; Noise measurement; Polynomials; Process control; Redundancy; State estimation; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2004 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-8566-7

Type

conf

DOI

10.1109/ICSMC.2004.1399815

Filename

1399815