【摘要】 将基于滑模控制的自学习模糊控制应用于挠性卫星的姿态稳定控制中 .给出了姿态控制系统的设计方法 .自学习控制算法利用滑模控制原理和模糊性能判决表在线修改模糊控制器的规则参数 .为了解决传统自组织模糊控制对外界信号敏感的问题 ,基于滑模控制的自学习算法同时考虑了误差状态矢量及其变化趋势 ,增强了系统的鲁棒性 .与传统自组织模糊控制相比 ,仿真实验结果表明 ,该控制方法对卫星参数变化不敏感 ,能有效地抑制卫星的外界干扰及挠性附件的振动 ,使卫星的姿态角得到准确的控制更多还原

【Abstract】 The self-learning fuzzy control based on sliding mode control is applied to the attitude stabilization of flexible satellites. The detailed design procedure of the self-learning fuzzy control system is presented. The techniques of sliding mode control and the fuzzy decision making method are utilized to implement the proposed self-learning scheme. To solve the problem of sensitivity to external signals in the conventional self-organizing fuzzy control, the learning and modification of the controller are made in consideration of the location imformation of the error state vector as well as its motional trend. Thus the robustness of the control system is improved. The comparison between the proposed method and the conventional self-organizing fuzzy control method and the simulation results show the proposed method is insensitive to the parameter variety of the satellite. It could effectively reject the external disturbance and damp out the oscillation of flexible appendage, so as to obtain the accurate attitude control.更多还原