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On-line estimation of a dynamic model for basis weight variations in paper machines

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3 Author(s)
X. G. Wang ; Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada ; G. A. Dumont ; M. S. Davies

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

Published in:

Control Applications, 1992., First IEEE Conference on

Date of Conference:

13-16 Sep 1992