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Extended state observer-based fault-tolerant control for an unmanned surface vehicle under asynchronous injection and deception attacks

Wang, Haiwen; Liu, Chun; Huang, Xiao; Zhong, Yuxuan; Qu, Dong; Patton, Ron J.

Authors

Haiwen Wang

Chun Liu

Xiao Huang

Yuxuan Zhong

Dong Qu

Profile image of Ron Patton

Professor Ron Patton R.J.Patton@hull.ac.uk
Emeritus Professor of Control and Intelligent Systems Engineering



Abstract

This paper explores the problem of fault-tolerant control concerning an underactuated unmanned surface vehicle affected by actuator faults and disturbances in the physical layer and multiple cyber threats (time-varying delays, injection attacks, and deception attacks) in the networked layer. Firstly, an extended state observer is designed to estimate the relative state and fault information by constructing the estimation error term based on the output information affected by injection attack and delay. Secondly, a novel fault-tolerant controller is designed to deal with random Bernoulli deception attacks and compensate for time-varying delay and actuator faults by using the estimated information and considering the probability dynamics of deception attacks. Assuming that dual-channel asynchronous independent injection and deception attacks occur on the sensor-to-observer and observer-to-controller channels. A sufficient condition for asymptotic stability of the unmanned surface vehicle is derived by using Lyapunov-Krasovskii functional within the co-design framework of fault estimation and fault-tolerant control, and ensured by eliminat-ing the equality constraint. Finally, the efficacy of the proposed algorithm is assessed through simulations of the unmanned surface vehicle under two distinct scenarios: low forward speed and high forward speed.

Citation

Wang, H., Liu, C., Huang, X., Zhong, Y., Qu, D., & Patton, R. J. (2024). Extended state observer-based fault-tolerant control for an unmanned surface vehicle under asynchronous injection and deception attacks. Complex Engineering Systems, 4(3), Article 13. https://doi.org/10.20517/ces.2024.19

Journal Article Type Article
Acceptance Date Jul 18, 2024
Online Publication Date Jul 24, 2024
Publication Date Sep 1, 2024
Deposit Date Oct 19, 2024
Publicly Available Date Oct 21, 2024
Journal Complex Engineering Systems
Electronic ISSN 2770-6249
Publisher OAE Publishing
Peer Reviewed Peer Reviewed
Volume 4
Issue 3
Article Number 13
DOI https://doi.org/10.20517/ces.2024.19
Keywords Extended state observer; Fault-tolerant control; Unmanned surface vehicle; Injection attacks; Deception attacks
Public URL https://hull-repository.worktribe.com/output/4868640

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.




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