Adaptive basis weight control 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

fYear

1993

fDate

13-16 Sep 1993

Firstpage

209

Abstract

A dynamic model for basis weight variations in paper machines has been developed. The model is identified recursively from scanned measurements, and so provides an 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. Here the approach is extended to include the adaptive generalized prediction control (GPC) algorithm for machine direction variations of the basis weight process. The adaptive controller is designed to overcome shortcomings of the nonadaptive traditional controllers being used

Keywords

adaptive control; paper industry; predictive control; weight control; adaptive basis weight control; adaptive generalized prediction control algorithm; basis weight variation estimation; dynamic parameters; noise characteristics; paper machines; recursive identification; scanned measurements; Adaptive control; Infrared detectors; Moisture measurement; Paper making machines; Programmable control; Pulp manufacturing; Recursive estimation; Wavelength measurement; Weight control; Weight measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1993., Second IEEE Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-1872-2

Type

conf

DOI

10.1109/CCA.1993.348280

Filename

348280