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某多挠性体卫星姿态的模糊神经网络控制设计

Yao-ke DU,Ren-jun PENG

Aerospace Shanghai（2008）

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Abstract
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.
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Key words
Controller,Attitude control,Flexible satellite,Learning algorithm,Fuzzy neural networks
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