Original scientific paper

Adaptive fuzzy control design for the molten steel level in a strip casting process

Y. J. Zhang ; School of Materials and Metallurgy, University of Science and Technology Liaoning, China
I. B. Wu ; School of Materials and Metallurgy, University of Science and Technology Liaoning, China
H. Y. Zhao ; School of Materials and Metallurgy, University of Science and Technology Liaoning, China
X. D. Hu ; School of Materials and Metallurgy, University of Science and Technology Liaoning, China
W. Y. Zhang ; School of Materials and Metallurgy, University of Science and Technology Liaoning, China
D. Y. Ju ; School of Materials and Metallurgy, University of Science and Technology Liaoning, China

Abstract

This paper studies the adaptive fuzzy control problem of the molten steel level for a class of twin roll strip casting systems. Based on fuzzy logic systems (FLSs) and the mean value theorem, a novel adaptive tracking controller with parameter updated laws is effectively designed. It is proved that all the closed-loop signals are uniformly bounded and the system tracking errors can asymptotically converge to zero by using the Lyapunov stability analysis. Simulation results of semi-experimental system dynamic model and parameters are provided to demonstrate the validity of the proposed adaptive fuzzy design approach.

Keywords

strip; casting process; molten steel level control; fuzzy logic systems (FLSs),; dynamic model

Hrčak ID:

180970

URI

https://hrcak.srce.hr/180970

Publication date:

1.7.2017.

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