Simultaneous data reconciliation and parameter estimation. Application to a basic oxygen furnace
| Autor: | Didier Maquin, Julien Francken, José Ragot, Bertrand Bèle |
|---|---|
| Přispěvatelé: | Maquin, Didier, Centre de Recherche en Automatique de Nancy (CRAN), Université Henri Poincaré - Nancy 1 (UHP)-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), ArcelorMittal Maizières Research SA, ArcelorMittal |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Product design specification
Basic oxygen steelmaking Engineering Fouling Estimation theory business.industry 020209 energy Estimation techniques Final product Process (computing) Control engineering 02 engineering and technology [SPI.AUTO]Engineering Sciences [physics]/Automatic Data reconciliation [SPI.AUTO] Engineering Sciences [physics]/Automatic 020401 chemical engineering Control system Set-point control Batch Process 0202 electrical engineering electronic engineering information engineering Batch processing Parameter estimation 0204 chemical engineering business |
| Zdroj: | 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, ICONS 2009 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, ICONS 2009, Sep 2009, Istambul, Turkey. pp.CDROM ICONS |
| Popis: | International audience; In the steel industry, the determination of the control system set-points of batch processes is a common problem. It consists in adjusting the set-points in order to reach the given product specifications thanks to a process model. Small changes in operating conditions may impact final product quality. This is particularly true for the Basic Oxygen Furnace (BOF) where the information collected during a specific batch serves to adjust the set-points of the next batch. For being able to control that type of process, measurements must be made coherent and it may be convenient to use data reconciliation procedure. The proposed paper describes a method allowing simultaneous data reconciliation and model parameter estimation. Parameter estimation results can either be used to update the process model or to detect abnormal parameter variations due, e.g. to fouling, corrosion, degradation of parts of the process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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