DocumentCode
1597125
Title
On-line estimation of a dynamic model for basis weight variations in paper machines
Author
Wang, Xiaochun G. ; Dumont, Guy A. ; Davies, Michael S.
Author_Institution
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
fYear
1992
Firstpage
1082
Abstract
A dynamic model for basis weight variations in paper machines is established and estimated recursively from scanned measurements using a combination of an exponential forgetting and resetting least squares estimator and an extended Kalman filter. The algorithm provides online estimation of basis weight variations in cross-machine direction and machine direction, as well as estimates of the dynamic parameters and noise characteristics of the process
Keywords
Kalman filters; least squares approximations; paper industry; weight control; basis weight variations; directional variation; dynamic model; dynamic parameters; exponential forgetting and resetting least squares estimator; extended Kalman filter; noise characteristics; online estimation; paper machines; recursive estimation; scanned measurements; Area measurement; Least squares approximation; Moisture measurement; Paper making machines; Recursive estimation; Sampling methods; Sensor phenomena and characterization; Stochastic processes; Weight control; Weight measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 1992., First IEEE Conference on
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0047-5
Type
conf
DOI
10.1109/CCA.1992.269720
Filename
269720
Link To Document