New Challenges in Modelling and Secondary Cooling Control of Continuous Steel Casting

New Challenges in Modelling and Secondary Cooling Control of Continuous Steel Casting

Paper in proceedings (conference paper)

In recent years, there is a dominant trend for the utilization of dynamic solidification models in process and quality control of continuous steel casting. A significant effort has been done in case of control of secondary cooling where water and air-mist nozzles are used. Both simple and sophisticated control and regulation methods are nowadays used for the optimal control of secondary cooling. The paper presents our recent development of advanced control methods based on the fuzzy logic and model predictive control approach. Cooling control by means of the cooling curves and of the PID regulator was implemented in order to evaluate the control capabilities of developed tools. The presented control solution represents a combination of a transient multidimensional numerical model of temperature fields for continuous steel casting and advanced control algorithms. The study case with a temporary drop of the casting speed, which is typical in case of the intervention of the breakout prediction system, was used to evaluate control capabilities of presented algorithms. The results show that our control and regulation algorithms are very efficient tool for the continuous casting control. Applicability of the developed algorithms was tested in a Level 2 implementation of ASM Automation Company, which is our sole implementation partner, and robust control behaviour was observed.

In recent years, there is a dominant trend for the utilization of dynamic solidification models in process and quality control of continuous steel casting. A significant effort has been done in case of control of secondary cooling where water and air-mist nozzles are used. Both simple and sophisticated control and regulation methods are nowadays used for the optimal control of secondary cooling. The paper presents our recent development of advanced control methods based on the fuzzy logic and model predictive control approach. Cooling control by means of the cooling curves and of the PID regulator was implemented in order to evaluate the control capabilities of developed tools. The presented control solution represents a combination of a transient multidimensional numerical model of temperature fields for continuous steel casting and advanced control algorithms. The study case with a temporary drop of the casting speed, which is typical in case of the intervention of the breakout prediction system, was used to evaluate control capabilities of presented algorithms. The results show that our control and regulation algorithms are very efficient tool for the continuous casting control. Applicability of the developed algorithms was tested in a Level 2 implementation of ASM Automation Company, which is our sole implementation partner, and robust control behaviour was observed.

Continuous steel casting, secondary cooling control, cooling curves regulation, fuzzy regulation, PID regulation, model predictive control

Continuous steel casting, secondary cooling control, cooling curves regulation, fuzzy regulation, PID regulation, model predictive control

ŠTĚTINA, J.; KLIMEŠ, L.; MAUDER, T.

2016

15.06.2015

Steel Institute VDEh

Dusseldorf

978-3-00-049542-7

METEC & 2nd ESTAD 2015 Proceedings

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NEUVEDENO

1

8

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http://hdl.handle.net/