An Application of Stochastic and Dynamic Models for the Control of a Papermaking Process


Tee, L.H.*; Wu, S.M.   (1972, ASQC and the American Statistical Association)   University of Wisconsin, Madison, WI

Technometrics    Vol. 14    No. 2
QICID: 8371    May 1972    pp. 481-496
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Article Abstract

* - L.H. Tee Postdoctoral Fellow, Mechanical Engineering Department.A statistical approach to model a papermaking process and to control paper basis weight is presented. The process behavior is described by a mathematical model which takes into consideration both the input-output dynamics and disturbances coming into the system. The model building procedure was based on a three-step approach of identification, estimation, and diagnostic checking. The disturbance model is accounted for by a discrete time series model, whereas the dynamic model is a discrete transfer function model. The simplicity of the modeling process lies in the fact that only the input-output data are necessary without recourse to a complicated analysis of the physical system itself.An optimal control equation was arrived at whereby the basis weight of the paper was to be controlled at a specified target value. Confirmation runs were conducted to check the effectiveness of the control equation.


Paper industry,Statistical methods,Modeling,Process control

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