Adaptive Fuzzy Control Design for the Molten Steel Level in a Strip Casting Process
نویسندگان
چکیده
Y. J. Zhang, L. B. Wu, H. Y. Zhao, X. D. Hu, W. Y. Zhang, D. Y. Ju, School of Materials and Metallurgy, University of Science and Technology Liaoning, China 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.
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