Abstract
An interval type-2 fuzzy logic system is used to setup the cooling water applied to the strip as it traverses the run out table in order to achieve the coiler entry temperature target. The interval type-2 fuzzy setup model uses as inputs the target coiling entry temperature, the target strip thickness, the predicted finish mill exit temperature and the target finishing mill exit speed. The experimental results of the application of the interval type-2 fuzzy logic system for coiler entry temperature prediction in a real hot strip mill were carried out for three different types of coils. They proved the feasibility of the systems developed here for coiler entry temperature prediction. Comparison with an on-line type-1 fuzzy logic based model shows that the interval type-2 fuzzy logic system improves performance in coiler entry temperature prediction under the tested condition.
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Méndez, G.M., Leduc-Lezama, L., Colas, R., Murillo-Pérez, G., Ramírez-Cuellar, J., López, J.J. (2009). Application of Interval Type-2 Fuzzy Logic Systems for Control of the Coiling Entry Temperature in a Hot Strip Mill. In: Corchado, E., Wu, X., Oja, E., Herrero, Á., Baruque, B. (eds) Hybrid Artificial Intelligence Systems. HAIS 2009. Lecture Notes in Computer Science(), vol 5572. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02319-4_42
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DOI: https://doi.org/10.1007/978-3-642-02319-4_42
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