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Title: Design, implementation and testing of an intelligent knowledge-based system for the supervisory control of a hot rolling mill
Authors: Yao, L.
Postlethwaite, Ian
Browne, W.
Gu, Da-Wei
Mar, M.
Lowes, S.
First Published: Sep-2005
Publisher: Elsevier
Citation: Journal of Process Control, 2005, 15 (6), pp. 615-628.
Abstract: This paper describes the design, implementation and testing of an intelligent knowledge-based supervisory control (IKBSC) system for a hot rolling mill process. A novel architecture is used to integrate an expert system with an existing supervisory control system and a new optimization methodology for scheduling the soaking pits in which the material is heated prior to rolling. The resulting IKBSC system was applied to an aluminium hot rolling mill process to improve the shape quality of low-gauge plate and to optimise the use of the soaking pits to reduce energy consumption. The results from the trials demonstrate the advantages to be gained from the IKBSC system that integrates knowledge contained within data, plant and human resources with existing model-based systems.
DOI Link: 10.1016/j.jprocont.2005.03.003
ISSN: 0959-1524
Type: Article
Rights: This is the author's final draft of the paper published as Journal of Process Control, 2005, 15 (6), pp. 615-628. The final version is available from Doi: 10.1016/j.jprocont.2005.03.003
Appears in Collections:Published Articles, Dept. of Engineering

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