| EPSRC Reference: |
GR/R10875/01 |
| Title: |
Intelligent Computer Integrated Batch Manufacturing |
| Principal Investigator: |
Zhang, Dr J |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Chemical Engineering & Advanced Material |
| Organisation: |
Newcastle University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
30 April 2001 |
Ends: |
29 September 2004 |
Value (£): |
27,714
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| EPSRC Research Topic Classifications: |
| Design of Process systems |
Intelligent & Expert Systems |
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| EPSRC Industrial Sector Classifications: |
| Chemicals |
Pharmaceuticals and Biotechnology |
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Summary on Grant Application Form |
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This project aims to address issues in batch process manufacturing through an intelligent computer integrated batch manufacturing system approach integrating process modelling, optimal control, and process monitoring. In highly responsive agile batch manufacturing, adopting advanced control techniques, such as optimising control and intelligent monitoring, is the key to survive the increasingly competitive global market. Both batch process optimising control and intelligent monitoring, is the key to survive in the increasingly competitive global market. Both batch process optimising control and intelligent monitoring require accurate models of the processes. Developing a robust process model from a small number of test batch runs is very desirable in highly responsive and agile manufacturing. Robust process modelling from a limited amount of process data will be investigated by using bootstrap aggregated recurrent neural networks to enhance long range prediction capability. Issues in combining multiple recurrent neural networks will be addressed in this project. Optimal bath process control considering model uncertainties will be investigated by incorporating model prediction confidence bounds. Neuro-fuzzy network techniques and non-linear statistical data analysis techniques will be investigated to monitor batch processes. The project will be carried out by combining the strength of Newcastle in batch process control and intelligent systems and that of Tsinghua in process computer integrated manufacturing systems.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ncl.ac.uk |