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Estimating Sugar Cane Fibre Rate Using Kalman Filtering Techniques

This paper is concerned with estimating an important quantity in sugar cane milling. Traditionally this variable can only be measured in a laboratory since a suitable sensor does not exist On-line knowledge of this variable is important so an estimate from a soft-sensor is useful for control and analysis purposes.

A Kalman filter based estimator was developed to estimate this quantity using other measurable signals in conjunction with a model of the process. Tests based on full scale operational data have demonstrated the usefulness of this approach in practice.

Published by:
S. Crisafulli
R.D. Peirce
G.A. Dumont
M.S. Ingegneri
J.E. Seldon
C.B. Baade
CICS, University of Newcastle, Callaghan NSW 2308 Australia
Computer Services Department, CSR Limited, Ingham QLD 4850 Australia
PPC, University of British Columbia, Vancouver BC V6T 1Z4 Canada

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Details:
Technical Paper (171 KB , PDF)
Author: S. Crisafulli, R.D. Peirce, G.A. Dumont, M.S. Ingegneri, J.E. Seldon, C.B. Baade

Description:
Matrikon™ Control Performance Optimizer Technical Paper.