控制理论(社会学)
反推
执行机构
李雅普诺夫函数
计算机科学
滤波器(信号处理)
噪音(视频)
有界函数
控制工程
观察员(物理)
理论(学习稳定性)
控制系统
Lyapunov稳定性
车辆动力学
控制(管理)
跟踪(教育)
工程类
功能(生物学)
控制器(灌溉)
一致有界性
方案(数学)
人工神经网络
自适应控制
指数稳定性
鲁棒控制
作者
Yuxue Li,Xiaoyuan Zhu,Wen‐Hua Chen
标识
DOI:10.1109/tii.2025.3640655
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI