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MD‐CD interaction modeling and control of paper machines
Author(s) -
Kwok K. Ezra,
Li Ping
Publication year - 1997
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450750122
Subject(s) - interaction model , model predictive control , control (management) , computer science , basis (linear algebra) , set (abstract data type) , loop (graph theory) , control theory (sociology) , control engineering , artificial intelligence , engineering , mathematics , geometry , combinatorics , world wide web , programming language
For better quality control of paper machines, variations in the machine direction (MD), cross‐machine direction (CD) and their inherent interactions should be minimized. In this paper, a dynamic MD‐CD interaction model is developed by relating the effect of MD dry basis weight to the CD profile. Based on this model, a combined MD‐CD generalized predictive control strategy is proposed to handle the strong MD‐CD interaction. A set of industrial data was used to identify the interaction model. Results from closed‐loop simulation of the interaction model under the proposed control strategy show that a significant improvement in CD control during a grade change can be achieved.