Title :
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
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;
Conference_Titel :
Control Applications, 1993., Second IEEE Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1993.348280
