Irving, M.R., Boland, F.M. and Nicholson, H. (1978) Optimal Control of the Argon Oxygen Decarburizing Steelmaking Process. Research Report. ACSE Research Report 70 . Department of Automatic Control and Systems Engineering
Abstract
The argon oxygen decarburizing process is an increasingly important method of stainless steel manufacture. In the present paper, a nonlinear dynamic model is presented which represents approximately, the refining process. Finite dimensional optimisation techniques are used to calculate an optimal switched control and infinite dimensional gradient methods are applied to to discover an optimal continuous strategy. Control is achieved by varying the ratio of argon and oxygen in the supplied gas. Results with a realistic cost function indicate that substantial improvements in operating practice may be achieved. The feasibility of implementing the suggested control schemes is discussed.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 30 Apr 2015 10:16 |
Last Modified: | 26 Oct 2016 08:28 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 70 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85539 |