某多挠性体卫星姿态的模糊神经网络控制设计

Design of Attitude Control Based on Fuzzy System and Neural Networks for Some Flexible Satellite

为改善多挠性体卫星的姿态控制系统,研究了一种基于模糊神经网络的控制器设计。根据某卫星的姿态和挠性动力学模型,给出了模糊神经网络控制器(FNNC)结构及其简化的带动量学习算法。仿真结果表明:FNNC能较好地适应卫星本体参数变化,对外界干扰的抑制能力良好,可满足高精度、高稳定度卫星的姿控要求。

To improve the attitude control system of multi-flexible satellite,the controller design based on fuzzy neural network was studied in this paper. According to the attitude and flexible dynamic models,the structure of fuzzy neural networks controller(FNNC) and simplified learning algorithm were given out.The simulation results showed that FNNC had a good performance to the satellites parameter changes and outside disturbances,which could meet the requirement of the attitude control for flexible satellite wi...