| EPSRC Reference: |
GR/N05499/01 |
| Title: |
NON-LINEAR PREDICTIVE CONTROL & INDUSTRIAL APPLICATIONS |
| Principal Investigator: |
Kouvaritakis, Professor B |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Engineering Science |
| Organisation: |
University of Oxford |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 September 2000 |
Ends: |
30 November 2003 |
Value (£): |
141,214
|
| EPSRC Research Topic Classifications: |
|
| EPSRC Industrial Sector Classifications: |
| Aerospace, Defence and Marine |
Manufacturing |
| Information Technologies |
No relevance to Underpinning Sectors |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
Predictive control methods based upon linear systems theroy have been very successful in a large range of advanced process control applications. However, nonlinearities often have to be considered using empirical and ad hoc solutions. The proposed project will provide a rigorous theoretical framework for the solution of these problems and it will involve validation and assessment on two industrial simulation facilities. The project involves a co-operation between the Deaprtment of Engineering Science at the University of Oxford and the Industrial Control Centre at the University of Strathclyde. The Oxford group will focus on theoretical and algorithmic developments and the Strathclyde team will be responsible for design and industrial simulations.The major deliverables will be the software facility for the nonlinear predictive controllers and the two industrial simulation tools that will enable benchmarking. This project will make these available also for machinery control systems in the manufacturing industries. The controllers produced should give considerable performance and robustness improvements, since they will compensate for the nonlinearities directrly. This should provide UK companies with a competitive advantage, as system downtime can often be related to unpredictable behaviour due to system nonlinearities and the quality of control on real nonlinear systems can be improved.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.ox.ac.uk |