| EPSRC Reference: |
GR/L24021/01 |
| Title: |
MODEL-BASED PLANT-WIDE CONTROL FOR A THERMAL POWER UNIT (ERCOS) |
| Principal Investigator: |
Hogg, Professor B |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Electronics, Elec Eng & Comp Sci |
| Organisation: |
Queen's University of Belfast |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 July 1997 |
Ends: |
30 June 2000 |
Value (£): |
110,249
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| EPSRC Research Topic Classifications: |
| Power Sys Man, Prot & Control |
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| EPSRC Industrial Sector Classifications: |
| Energy |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The research project will develop and evaluate non-linear, model-based control for plant-wide control of a coal-fired generating unit. This will mainly be based on the non-linear plant model ANYDYM, supplied by National Power. The objectives are defined above. The proposed control methods will offer improved control, plant-wide disturbance rejection, and have the additional advantage of inferential prediction of previously unmeasured variables.A simplified non-linear prediction scheme and the EKF predictor will be utilised based on a non-linear model of the plant. The non-linear MBPC control scheme will be further advanced by utilising a local model based state-estimation structure, in which the state prediction is constructed for the states provided by a number of linear state-space predictors. A localised predicitve control scheme will be devised based on the local models. This research will also focus on the choice and suitability of plant measurements for operating regime decomposition.The new techniques will initially be developed by simulation of both the plant and control systems, to facilitate a wide range of generic studies, using a variety of plant models and control schemes. This will lead to the establishment of the ANYDYM model as a virtual plant on a SUN 10 workstation, interfaced to a Honeywell TDS 3000(x) DCS. The DCS will contain the MBPC, based on a reduced-order model, and thus incorporating modelling approximators, and hence model mismatch, forming the basis of the non-linear state prediction schemes. This constitutes a reaslistic environment for the extensive tests required at the early stages of developing plant-wide control.
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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.qub.ac.uk |