Chip refiner motor load adaptive control using a nonlinear Laguerre model

Author

Fu, Ye ; Dumont, Guy A.

Author_Institution

Pulp and Paper Centre, British Columbia Univ., Vancouver, BC, Canada

fYear

1993

fDate

13-16 Sep 1993

Firstpage

371

Abstract

A Laguerre filter based nonlinear dynamic model and a newly derived predictive control algorithm are used for a wood chip refiner motor load adaptive control in pulp and paper industry. Compared with many existing methods, the new approach has fast convergence in estimation, can provide more accurate prediction and automatically avoids refiner plate collapse when the load setpoint is not reachable. The method can also be easily extended to the modelling and control of a large class of nonlinear dynamic systems

Keywords

adaptive control; electric motors; filtering and prediction theory; machine control; nonlinear control systems; nonlinear dynamical systems; paper industry; power control; predictive control; Laguerre filter; convergence; motor load adaptive control; nonlinear Laguerre model; nonlinear dynamic model; nonlinear dynamic systems; paper industry; predictive control; pulp industry; wood chip refiner; Adaptive control; Adaptive filters; Automatic control; Convergence; Nonlinear control systems; Prediction algorithms; Predictive control; Predictive models; Pulp and paper industry; Refining;

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.1993.348263

Filename

348263