Tandem cold rolling mill modeling for multi-variable control synthesis

Mohamad Taki Asghar (1, 2) , Marc Jungers (2) , Irinel-Constantin Morarescu (2) , Ahmed Khelassi (1) , Julien Francken (1)

1 ArcelorMittal Maizières Research SA
2 CRAN - Centre de Recherche en Automatique de Nancy

A tandem cold rolling mill permits to reduce the thickness of a steel strip while ensuring the required mechanical properties. The tandem cold rolling could be modeled as a strongly non-linear differential-algebraic system including state-dependent delays. In order to reach the new products specifications, be inline with new challenges and also to optimize the process, advanced multi-variable control strategies are investigated. This paper will establish, as a main contribution, a model reaching a compromise between a good approximation of the process and its simplicity to control. A linearized model of the cold rolling process including state-dependent delays will be provided and validated numerically. A simulation with a simplistic multi-variable controller will illustrate the use of this model.

Mots clés: Tandem Cold Rolling; Continuous Tandem; Mathematical Model; State Space Representation; differential-algebraic system.

Domaines: Automatique / Robotique

Mohamad Taki Asghar, Marc Jungers, Irinel-Constantin Morarescu, Ahmed Khelassi, Julien Francken. Tandem cold rolling mill modeling for multi-variable control synthesis. 17th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing, Aug 2016, Vienna, Austria. ⟨hal-01393445⟩