Authors:
Karim Jabri
1
;
Bertrand Bele
2
;
Alain Mouchette
2
;
Emmanuel Godoy
3
and
Didier Dimur
3
Affiliations:
1
ArcelorMittal Research; Supélec, France
;
2
ArcelorMittal Research, France
;
3
Supélec, France
Keyword(s):
Disturbance estimation, Luenberger observer, Harmonic disturbance, Continuous casting, Mold level control.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Change Detection
;
Data Engineering
;
Informatics in Control, Automation and Robotics
;
Information-Based Models for Control
;
Signal Processing, Sensors, Systems Modeling and Control
;
Signal Reconstruction
Abstract:
This paper addresses the problem of mold level fluctuations in the continuous casting process, which strongly penalize the quality of the final product and lead to a costly machine downtime. Therefore, the mold level is controlled using a stopper as the flow control actuator and a level sensor. Under normal casting conditions, the current controllers provide suitable performances but abnormal conditions require manual intervention, such as the decrease of the casting speed, in particular when undesired disturbances like clogging/unclogging or bulging occur. These disturbances increase in severity for certain steel grades or at high casting speeds. Therefore, this paper focuses on the on-line disturbances estimation in order to introduce compensation actions. Starting with the presentation of the continuous casting process, the description of the model of the machine, and highlighting the main control challenges, an observer estimating clogging and bulging disturbances is then develop
ed. This design may help future control architectures based on disturbances estimation. The proposed observer is finally validated by extracting disturbances from experimental signals measured on a continuous casting plant.
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