EPSRC Reference: |
GR/M16788/01 |
Title: |
THE DEVELOPMENT OF AN INTELLIGENT KNOWLEDGE-BASED SYSTEM FOR SUPERVISORY CONTROL OF ROLLING MILLS |
Principal Investigator: |
Postlethwaite, Professor I |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Engineering |
Organisation: |
University of Leicester |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 1998 |
Ends: |
30 September 2001 |
Value (£): |
345,821
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EPSRC Research Topic Classifications: |
Control Engineering |
Manufacturing Machine & Plant |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
In the metals production industry, the UK is the work leader in the design of low level closed-loop controllers. However, for supervisory and plant wide control systems it has lost ground by failing to embrace new technologies. This project aims to redress this situation and to deliver a competitive advantage to UK producers and suppliers through the development of a generic expert system for supervisory control of rolling mills. The core of the expert system will include a model based set-up system (to ready a mill for optimum performance before tolling begins), fault detection diagnostics, and a set of low level control strategies.The new development will improve the operational efficiency plants manufacturing hot band aluminium plate and coil by increasing productivity and yield; it will improve the competitiveness of the supplier of mill and automation equipment (Kvaerner Metals); and it will improve the responsiveness of the producers of aluminium plates and coils to the demands and needs of customers.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.le.ac.uk |