DocumentCode :
1020541
Title :
Modelling and identifications of basis weight variations in paper machines
Author :
Wang, Xiaochun George ; Dumont, Guy A. ; Davies, Michael S.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
Volume :
1
Issue :
4
fYear :
1993
fDate :
12/1/1993 12:00:00 AM
Firstpage :
230
Lastpage :
237
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 both cross-machine direction and machine direction, as well as estimates of the dynamic parameters and noise characteristics of the process
Keywords :
Kalman filters; filtering and prediction theory; least squares approximations; paper industry; weighing; weight control; basis weight variations; exponential forgetting estimator; extended Kalman filter; online estimation; paper manufacture; resetting least squares estimator; scanned measurements; Coatings; Electrical equipment industry; Least squares approximation; Machinery production industries; Materials processing; Moisture; Paper making machines; Recursive estimation; Sheet materials; Weight measurement;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/87.260268
Filename :
260268
Link To Document :
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