Kanjilal, P.P and Rose , E (1982) Self Tuning Multi Step Prediction Applied to Speed Control of a Sinter Strand. Research Report. ACSE Report 185 . Department of Control Engineering, University of Sheffield, Mappin Street, Sheffield
Abstract
The processing of iron-ore to form sinter is a complex metallurgical process carried out on a moving grate. The production rate of good quality sinter is affected by significant variations in the properties of the raw input materials and in operating conditions. I large production units the emphasis is on overall steadiness of the process and the sinter strand is driven at constant speed for long periods. In principle, the efficiency of the process can be improved by manipulating the strand speed, but the control problem is complicated by the high order of time delay involved in the system. The paper presents a case for the application of multi-step prediction methods which can provide the operator with advance information on waste-gas variation and guide his action in adjusting strand speed.
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: | 06 Aug 2013 09:15 |
Last Modified: | 04 Nov 2016 02:26 |
Status: | Published |
Publisher: | Department of Control Engineering, University of Sheffield, Mappin Street, Sheffield |
Series Name: | ACSE Report 185 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:76175 |