Robust adaptive fuzzy output tracking control for a class of twin-roll strip casting systems
type: Item
instance of: scholarly article
title: Robust adaptive fuzzy output tracking control for a class of twin-roll strip casting systems
zbMATH Open document ID: 1426.93169
DOI: 10.1155/2017/6742630
author: Yu-Jun Zhang
author: Libing Wu
author: Hong-Yang Zhao
author: Xiaodong Hu
author: Wen-Yu Zhang
author: Dong-Ying Ju
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: This paper is concerned with the adaptive fuzzy control problem for a class of twin-roll strip casting systems. By using fuzzy logic systems (FLSs) to approximate the compounded nonlinear functions, a novel robust output tracking controller with adaptation laws is designed based on the high gain observer. First, the nonlinear dynamic equations for the roll gap and the molten steel level are constructed, respectively. Then, the mean value theorem is employed to transform the nonaffine nonlinear systems to the corresponding affine nonlinear systems. Moreover, it is also proved that all the closed-loop signals are bounded and the systems output tracking errors can converge to the desired neighborhoods of the origin via the Lyapunov stability analysis. Finally, simulation results, based on semiexperimental system dynamic model and parameters, are worked out to show the effectiveness of the proposed adaptive fuzzy design method.
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 6972369
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/6742630
OpenAlex ID: W2622360041
Wikidata QID: Q59147709
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description: scientific article; zbMATH DE number 6972369