Yao, Baozhen - ed. ; Wang, Shuaian - ed. ; Asian, Sobhan - ed.
An integrated approach to the fault-tolerant control (FTC) of a quadcopter unmanned aerial vehicle (UAV) with incipient actuator faults is presented. The framework is comprised of a radial basis function neural network (RBFNN) fault detection and diagnosis (FDD) module and a reconfigurable flight controller (RFC) based on the extremum seeking control approach. The dynamics of a quadcopter subject to incipient actuator faults are estimated using a nonlinear identification method comprising a continuous forward algorithm (CFA) and a modified golden section search (GSS) one. ; A time-difference-of-arrival (TDOA) method and the post-fault system estimates are used within the FDD module to compute the fault location and fault magnitude. The impact of bi-directional uncertainty and FDD detection time on the overall FTC performance and system recovery is assessed by simulating a quadcopter UAV during a trajectory tracking mission and is found to be robust against incipient actuator faults during straight and level flight and tight turns.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 32, number 4 (2022) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Jul 24, 2025
Jul 24, 2025
9
https://zbc.uz.zgora.pl/repozytorium/publication/101535
| Edition name | Date |
|---|---|
| Integrated fault-tolerant control of a quadcopter UAV with incipient actuator faults | Jul 24, 2025 |
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