Title :
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
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;
Conference_Titel :
Control Applications, 1993., Second IEEE Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1993.348263
