AN EFFICIENT METHOD FOR ONLINE IDENTIFICATION OF STEADY-STATE

被引：177

作者：

CAO, SL ^{[1
]}

RHINEHART, RR ^{[1
]}

机构：

[1] TEXAS TECH UNIV,DEPT CHEM ENGN,LUBBOCK,TX 79409

来源：

JOURNAL OF PROCESS CONTROL | 1995年 / 5卷 / 06期

关键词：

STEADY-STATE IDENTIFICATION; AUTOMATED; STOCHASTIC;

D O I：

10.1016/0959-1524(95)00009-F

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel method for the on-line identification of steady state in noisy processes is developed. The method uses critical values of an F-like statistic, and its computational efficiency and robustness to process noise distribution and non-noise patterns provide advantages over existing methods. The distribution of the statistic is obtained through Monte-Carlo simulations, and analytically derived shifts in the distribution due to process ramp changes and autocorrelations in the process data are shown to cross check with simulations. Application is demonstrated on experimentally measured pH, temperature and pressure data.

引用

页码：363 / 374

页数：12

共 17 条

[1] ALBERS JE, 1994, HYDROCARB PROCES MAR, P65
[2] Alekman S., 1994, CONTROL PROCESS IND, V3, P62
[3] BETHEA RM, 1991, APPLIED ENG STATISTI
[4] Box G.E.P., 1976, TIME SERIES ANAL
[5] Brockwell P., 1991, TIME SERIES THEORY M, V2nd ed.
[6] CROW EL, 1955, STAT MANUAL, P63
[7] DUTTA P, 1995, 1995 P AM CONTR C SE, P2898
[8] EDWARDS P, 1990, GUIDE MATH MODELING
[9] MODEL ACCURACY FOR ECONOMIC OPTIMIZING CONTROLLERS - THE BIAS UPDATE CASE
FORBES, JF
MARLIN, TE
[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1994, 33 (08) : 1919 - 1929
[10] Jubien G., 1994, CONTROL PROCESS IND, V7, P64

← 1 2 →