摘要
针对含有传感器与舵面故障的运输机姿态跟踪问题,提出了一种基于扩张状态观测器的反步容错控制方法。采用状态观测器与控制器分开设计的方法,设计含神经网络的扩张状态观测器估计系统状态、传感器和舵面故障信息。在此基础上,利用状态估计值代替实际状态,采用反步法设计姿态角跟踪控制律,并引入指令滤波器提高反步法的控制性能,基于Lyapunov稳定性理论推导证明了闭环系统跟踪误差的最终有界收敛。仿真结果表明,在系统存在传感器与舵面多故障的条件下,所提方法依然可以实现运输机姿态角的稳定跟踪。
To solve the attitude tracking problem of transport aircraft with sensor faults and actuator faults, a backstepping fault-tolerant control method based on extended state observer is proposed. The state observer and controller are designed separately. The extended state observer with neural network is designed to estimate the flight states, sensor faults and actuator faults simultaneously. On this basis, the flight states are replaced by the estimates, the control law of attitude tracking control is designed based on backstepping control technique, and the command filter is also introduced into the fault-tolerant controller which can improve the control performance.The final bounded convergence of closed-loop system tracking errors is derived and proved using Lyapunov stability analysis. The simulation results show that the proposed method is effective and can solve the attitude angle tracking problem of transport aircraft in the presence of sensor faults and actuator faults.
作者
董文瀚
童颖裔
朱鹏
郭佳
DONG Wenhan;TONG Yingyi;ZHU Peng;GUO Jia(Aeronautics Engineering College,Air Force Engineering University,Xi’an 710038,China;Graduate College,Air Force Engineering University,Xi’an 710038,China;Naval Aviation University,Huludao 125001,China;Avionics Department,State-Owned Wuhu Machinery Factory,Wuhu 241000,China)
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2020年第5期1005-1017,共13页
Journal of Beijing University of Aeronautics and Astronautics
基金
航空科学基金(20171396)。
关键词
扩张状态观测器
神经网络
运输机
多故障
容错控制
extended state observer
neural network
transport aircraft
multiple faults
fault-tolerant control
