z-logo
Premium
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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom