A survey on active fault-tolerant control systems

A Abbaspour, S Mokhtari, A Sargolzaei, KK Yen - Electronics, 2020 - mdpi.com
Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …

Fixed-time disturbance observer-based robust fault-tolerant tracking control for uncertain quadrotor UAV subject to input delay

K Liu, R Wang, S Zheng, S Dong, G Sun - Nonlinear Dynamics, 2022 - Springer
This study focuses on the design of a fixed-time disturbance observer-based robust fault-
tolerant tracking control scheme for an uncertain quadrotor unmanned aerial vehicle (UAV) …

Fault diagnosis for UAV blades using artificial neural network

G Iannace, G Ciaburro, A Trematerra - Robotics, 2019 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs) have been used in several fields
including, for example, archaeology, cargo transport, conservation, healthcare, filmmaking …

An acoustic fault detection and isolation system for multirotor UAV

A Bondyra, M Kołodziejczak, R Kulikowski, W Giernacki - Energies, 2022 - mdpi.com
With the rising popularity of unmanned aerial vehicles (UAVs) and increasing variety of their
applications, the task of providing reliable and robust control systems becomes significant …

Recent advances in active fault tolerant flight control systems

MSK Raja, Q Ali - … of the Institution of Mechanical Engineers …, 2022 - journals.sagepub.com
The Flight Control System (FCS) is considered as the brain of an aerial vehicle. It is a
mechanism through which pilot's commands are transferred to the actuators of the aircraft …

Actuator fault detection and isolation on multi-rotor UAV using extreme learning neuro-fuzzy systems

T Thanaraj, KH Low, BF Ng - ISA transactions, 2023 - Elsevier
Undetected partial actuator faults on multi-rotor UAVs can lead to system failures and
uncontrolled crashes, necessitating the development of accurate and efficient fault detection …

A particle filtering approach for fault detection and isolation of UAV IMU sensors: Design, implementation and sensitivity analysis

E D'Amato, VA Nardi, I Notaro, V Scordamaglia - Sensors, 2021 - mdpi.com
Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial
vehicle (UAV) development, where attitude estimation plays a key role in flight control …

A generalized reciprocally convex inequality on stability and stabilization for T–S fuzzy systems with time-varying delay

Y Wang, C Hua, PG Park - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
This article investigates the stability and stabilization issues of Takagi–Sugeno (T–S) fuzzy
systems with time-varying delay via a generalized reciprocally convex inequality (GRCI) …

Fault diagnosis and condition monitoring of UAV rotor using signal processing

A Bondyra, P Gasior, S Gardecki… - 2017 Signal processing …, 2017 - ieeexplore.ieee.org
In this paper, a method for fault detection of physical impairment of UAV rotor blades is
presented. Actuators in multirotor UAV (Unmanned Aerial Vehicle) systems are common …

Neural network observer based on fuzzy auxiliary sliding-mode-control for nonlinear systems

M Taimoor, X Lu, W Shabbir, C Sheng - Expert Systems with Applications, 2024 - Elsevier
This research suggests the use of neural network observers based on fuzzy auxiliary sliding
mode control for the fault estimation and isolation of quadrotor unmanned aerial vehicle …