Application of Interval Type-2 Fuzzy Logic Systems for Control of the Coiling Entry Temperature in a Hot Strip Mill

  • Authors:

  • Gerardo M. Méndez;Luis Leduc-Lezama;Rafael Colas;Gabriel Murillo-Pérez;Jorge Ramírez-Cuellar;José J. López

  • Affiliations:

  • Department of Electrical and Electronics Engineering, Instituto Tecnológico de Nuevo León, México CP 67170;Department of Process Engineering, Ternium, México CP 66452;Faculty of Mechanical and Electrical Engineering, Autonomous University of Nuevo Leon, México CP 66452;Department of Process Engineering, Ternium, México CP 66452;Department of Process Engineering, Ternium, México CP 66452;Department of Electrical and Electronics Engineering, Instituto Tecnológico de Nuevo León, México CP 67170

  • Venue:
  • HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.