Metallurgy, Vol. 56 No. 3-4, 2017.
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
Publication date:
1.7.2017.
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