基于神经网络的航天器固定时间姿态容错控制OA

In this paper,a backstepping control method based on fixed-time control technology is de-signed to the spacecraft attitude output tracking control system in the presence of external disturbances.By introducing a radial basis function neural network(RBFNN),the approached method can enhance the tracking performance of the system.Firstly,the controller is designed by designing the virtual control in-puts and the fixed-time command filter.Secondly,an attitude control scheme is proposed for rigid space-craft based on the backstepping approach and RBFNN.Thirdly,the Lyapunov stability theorem is used to prove that the attitude tracking error and the angular velocity error converge in a fixed-time.Finally,nu-merical simulations are provided to verify the effectiveness of the proposed theoretical results.