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Fault-Tolerant Control of a Quadrotor Unmanned Aerial Vehicle with Single Rotor Failure in Dense Obstacle Environments.
Author(s) -
Xun Gu,
Pengbo Wang,
Tao Lu
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3588128
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Due to the motor degradation from long-term flight and the underactuated dynamics of quadrotor unmanned aerial vehicles (UAV), rotor failures are more likely to occur, posing significant challenges to stable flight. To address the impact of a single rotor completely failure, a quaternion-based decoupled degraded fault-tolerant control strategy is proposed to ensure accurate trajectory tracking performance of the quadrotor UAV. When a single rotor completely failure, the attitude control is intentionally degraded to retain altitude and attitude regulation capabilities in complex environments. To enhance robustness, a sliding mode observer (SMO) is designed to estimate and compensate for external unknown wind disturbances. Furthermore, to enable obstacle avoidance in three-dimensional environments, a geometric position controller integrated with the artificial potential field (APF) method is developed. The stability of the closed-loop system is rigorously analyzed using the Lyapunov method. Numerical simulation results demonstrate that the proposed control strategy provides strong robustness and high-precision pose tracking, even under complete single-rotor failure scenarios in complex environments. These findings suggest that the control framework is suitable for reliable autonomous flight missions under actuator efficiency degradation.

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