Conference paper
Predictive Fuzzy Control of Paper Quality
Department of Mechanical Engineering, École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal, H3C 3A7, Canada, sofiane.achiche@polymtl.ca1
Department of Mechanical Engineering, École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal, H3C 3A7, Canada, luc.baron@polymtl.ca2
Department of Mechanical Engineering, École Polytechnique de Montréal, C.P. 6079, Succ. Centre-Ville, Montréal, H3C 3A7, Canada, marek.balazinski@polymtl.ca3
Pulp and paper quality depends on the quality of wood chips which depends on their physical and optical properties. Presently, there is no formally established knowledge concerning the co-influences of the several parameters governing the thermo-mechanical pulp and paper process (TMP). The main goal of this paper is to automatically generate fuzzy knowledge bases (FKBs) to characterize wood chip properties online and apply this information to optimize the TMP process so that pulp quality can be predicted and controlled using wood chip properties (defined by numerical data).
The production settings used in this article take into account the hydrosulfite bleaching agent. Learning of the FKBs (using a genetic algorithm) uses measurements obtained from the chip management system (CMS®). Changes in chip quality are measured by physical information (color analysis and humidity) using CMS®.
The information provided by CMS® enabled us to predict the ISO brightness of the produced pulp according to a certain charge of hydrosulfite. The developed FKBs are used afterwards to control the optimal hydrosulfite charges using a Monte-Carlo based search algorithm.
| Language: | English |
|---|---|
| Year: | 2006 |
| Pages: | 31-34 |
| ISBN: | 1424403626 , 1424403634 , 9781424403622 and 9781424403639 |
| Types: | Conference paper |
| DOI: | 10.1109/NAFIPS.2006.365854 |
Automatic generation control Bleaching Character generation Color Fuzzy control Genetic algorithms Humidity measurement Monte Carlo methods Monte-Carlo based search algorithm Production Semiconductor device measurement Thermomechanical processes bleaching (materials processing) chip management system fuzzy control fuzzy knowledge bases genetic algorithm hydrosulfite bleaching agent knowledge based systems paper industry paper making paper pulp paper quality predictive control predictive fuzzy control process control pulp quality thermo-mechanical pulp wood wood chip properties
