A survey on active fault-tolerant control systems
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) …
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
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) …
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 …
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 …
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 …
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
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 …
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
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 …
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
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) …
systems with time-varying delay via a generalized reciprocally convex inequality (GRCI) …
Fault diagnosis and condition monitoring of UAV rotor using signal processing
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 …
presented. Actuators in multirotor UAV (Unmanned Aerial Vehicle) systems are common …
Neural network observer based on fuzzy auxiliary sliding-mode-control for nonlinear systems
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 …
mode control for the fault estimation and isolation of quadrotor unmanned aerial vehicle …