Adaptive delay dependent sliding mode fault-tolerant controller design for nonlinear systems with unknown time-varying input and state delays

Azmi, Hadi; Yazdizadeh, Alireza

doi:10.1016/j.ejcon.2022.100756

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…In addition, a variety of FD schemes, such as FD based on data-driven, 14 FD based on deep learning technique, 15 and FD based on neural networks, 16 are designed to detect physical faults. On the other hand, the development of robust and effective fault-tolerant control (FTC) mechanisms 17 is of the utmost importance to ensure the successful operation and navigation safety of the USV. A novel FTC design with analytic redundancy and controller switching strategy is devised to offset the rotor speed sensor faults.…”

Section: Introductionmentioning

confidence: 99%

“…19 In addition, several FTC frameworks, such as FTC with adaptive distributed optimal algorithm, 20 FTC with adaptive neural networks, 21 and FTC with novel nonsingular terminal sliding mode, 22 are developed to guarantee the excellent performance and tolerance abilities of the USV. However, most of the existing literatures only proceed with separated FD 11,23 and FTC 17,21,24 schemes, that is, considering front-end diagnostic discrimination or back-end fault-tolerant compensation in isolation. Compared to separate FD and FTC schemes, the integrated design obtains accurate fault information directly from the FD scheme and promptly implements appropriate control actions.…”

Section: Introductionmentioning

confidence: 99%

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Integrated fault detection filter and fault-tolerant control for the unmanned surface vehicle with deception attacks

Jin,

Liu,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article investigates the fault detection and fault-tolerant control problem for an unmanned surface vehicle exposed to wave-induced disturbances and actuator faults in the physical layer, and delays and deception attacks in the cyber layer. First, a comprehensive vehicle model that includes physical disturbances, faults, time-varying delays, and Bernoulli random variable–based deception attacks is established. Second, an integrated fault detection filter and fault-tolerant controller design are developed to simultaneously provide a high degree of sensitivity to actuator faults and robustness and stability against cyber-physical threats (disturbances, faults, delays, and attacks). Delays and deception attacks are assumed to occur on the channel from fault detection filter to fault-tolerant controller. Finally, the performance and advantages of the integrated fault detection filter and fault-tolerant controller method with the solvability of inequality matrices are evaluated via comparative simulations in the unmanned surface vehicle with both low and high forward speeds.

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