基于模糊神经网络干扰观测器的组合体航天器姿态控制

针对非合作目标存在对抗性力矩输出情况下的组合体航天器姿态控制系统，提出了一种基于模糊神经网络干扰观测器（Fuzzy Neural Network Disturbance Observer，FNNDO）的非奇异终端滑模（Nonsingular Terminal Sliding Mode，NTSM）有限时间控制策略。首先以服务航天器为基准，建立组合体航天器姿态数学模型，然后针对包含惯量不确定性、目标对抗性力矩等的等效干扰力矩，设计了一种具有自适应能力的FNNDO，可以实现对等效干扰的有效跟踪。在FNNDO的基础上，设计NTSM控制器，利用Lyapunov理论证明闭环系统的有限时间稳定性。最后，仿真实验结果表明了控制策略的有效性和观测器在观测性能上的优越性。

Fuzzy Neural Network Disturbance Observer Based Attitude Control for Combined Spacecraft

A fuzzy neural network disturbance observer (FNNDO) based nonsingular terminal sliding mode (NTSM) finite-time control strategy is proposed for a combined spacecraft attitude control system in the presence of counteraction torque output for non-cooperative targets. Firstly, the attitude mathematical model of combined spacecraft is established with the service spacecraft as the reference, and then a FNNDO with adaptive capability is designed for the generalized disturbance torque including inertial uncertainty, counteraction torque, etc., which can achieve effective tracking of the generalized disturbance. Based on the FNNDO, the NTSM controller is designed to demonstrate the finite-time stability of the closed-loop system using Lyapunov theory. Finally, the simulation results show the effectiveness of the control strategy and the superiority of the observer in the observation performance.