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Fault Detection Based on Interval Observers and Dynamic Event–Triggered Fault–Tolerant Control for Morphing Aircraft Cover

Fault Detection Based on Interval Observers and Dynamic Event–Triggered Fault–Tolerant Control for Morphing Aircraft

By: Xingjian Fu and  Xiaohan Wang  
Open Access
|Sep 2025

Abstract

In this paper, a fault detection mechanism using interval observers and a robust fault-tolerant control strategy with dynamic event-triggered mechanism are designed for the switched control problem during the transformation process of a morphing aircraft. Firstly, an interval observer design method for the nonlinear switched system is given. It is converted by coordinate transformation into the form of solving Sylvester’s equation in the absence of actuator faults. Secondly, by using the output of the interval observer, the upper and lower bounds of the system output under the no actuator faults condition are constructed, and the design of the fault detection mechanism is achieved by monitoring whether the system output exceeds the bounds. Thirdly, in order to save communication resources, a robust fault-tolerant control strategy based on dynamic event-triggered mechanism is designed. Based on fault detection results, two different controllers are utilized for switched control, ensuring the boundedness of the closed-loop system signal, and conditions for the asymptotic stability of the closed-loop system are offered. Finally, a nonlinear model of morphing aircraft system with variable wing curvature is used to verify the validity of the designed scheme.

DOI: https://doi.org/10.61822/amcs-2025-0030 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 429 - 442
Submitted on: Nov 13, 2024
Accepted on: Apr 23, 2025
Published on: Sep 8, 2025
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Xingjian Fu, Xiaohan Wang, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.