Stabilization control of a flexible marine riser with failed and bounded actuator and time‐varying boundary constraints

In this article, we investigate the stabilization control problem of a flexible marine riser system with a failed and bounded control action and time‐varying boundary constraints. The considered system is modeled as a distributed parameter system dominated by a partial differential equation. The inv...

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Bibliographic Details
Published inInternational journal of robust and nonlinear control Vol. 31; no. 16; pp. 7621 - 7639
Main Authors Han, Zhiji, Liu, Zhijie, He, Xiuyu
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 10.11.2021
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Summary:In this article, we investigate the stabilization control problem of a flexible marine riser system with a failed and bounded control action and time‐varying boundary constraints. The considered system is modeled as a distributed parameter system dominated by a partial differential equation. The involved problems are extended to some more general conditions. The saturation and failures of the actuator make the input and output of the actuator a nonlinear relationship, which leads to the normally designed control input invalid. By applying the Nussbaum gain technique, we report a synthetical control method to tackle the input nonlinearity. A piecewise barrier Lyapunov function (BLF) is introduced to reduce the boundary displacement in an asymmetric open set. Compared with the traditional BLFs, the initial boundary displacement is not forced to retain within the given region by integrating a shifting function into the BLF design. In addition, the adaptive method is combined with the hyperbolic tangent function to provide a smooth control solution to the unknown parameters from nonlinear input and external perturbation. Relying on a Lyapunov‐based analysis and a numerical simulation, it is proven that the actuated riser system is uniformly bounded and the boundary displacement always keeps in the limited set even subject to actuator failures and limitations.
Bibliography:Funding information
Beijing Top Discipline for Artificial Intelligent Science and Engineering of USTB, Interdisciplinary Research Project for Young Teachers of USTB, FRF‐IDRY‐19‐024; National Key Research and Development Program of China, 2019YFB1703603; National Natural Science Foundation of China, U2013201; 62061160371; 62073030; 62073031; the Scientific and Technological Innovation Foundation of Shunde Graduate School, BK21BF003
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ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.5708