The paper presents the use of a solidification model coupled with control algorithms for optimization of secondary cooling. The solidification model provides data to control algorithms, which evaluate an actual thermal state of a strand and control casting parameters such as cooling intensity in secondary cooling zone. The paper aims at our recent development of advanced control methods for secondary cooling. A fuzzy logic and model predictive control approaches are tested and compared to traditional PID regulation and cooling curve control. A study case with a dynamic change of the casting speed, which may occur in production, is used to assess control capabilities of developed algorithms. Simulation results show the developed control and regulation tools are robust and effective for control of secondary cooling in continuous casting.Keywords: continuous casting, secondary cooling control, PID, fuzzy regulation, model predictive control
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