Abstract
Safe and reliable control provides a critical guarantee for the stable operation of quadrotor unmanned aerial vehicles (UAVs) in low-altitude scenarios. This article proposed a safety-critical control strategy for a quadrotor UAV through the integration of output constrained tracking and fault-tolerant mechanisms. First, a barrier Lyapunov function is incorporated into a backstepping control framework to rigorously enforce time-varying output constraints. Subsequently, a composite estimation module comprised of a disturbance observer and radial basis function neural networks is constructed to jointly compensate the influence of external disturbances and actuator faults. Furthermore, to address the noise amplification problem, a command filter is employed to derive a virtual control law of the proposed system, while an auxiliary system is designed to alleviate the impact of filter error. Besides, semi-globally bounded stability is proved by the Lyapunov direct method. Finally, the proposed safe and reliable control scheme is implemented on a quadrotor platform, where its effectiveness is verified by both simulations and experiments.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Industrial Informatics |
| DOIs | |
| Publication status | Published - Jan 2025 |
Keywords
- Barrier Lyapunov function (BLF)
- disturbance compensation
- fault-tolerant control
- output constraints
- safety control
ASJC Scopus subject areas
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Electrical and Electronic Engineering
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