| 基于模糊神经网络的飞船GNC分系统故障诊断 |
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| 引用本文： | 蔡彪,王南华.基于模糊神经网络的飞船GNC分系统故障诊断[J].航天控制,2006,24(6):67-71. |
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| 作者姓名： | 蔡彪 王南华 |
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| 作者单位： | 北京控制工程研究所,北京,100080 |
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| 摘 要： | 研究了基于模糊神经网络的飞船GNC分系统的故障诊断方法,提出了重构新的激励函数并附加动量因子的改进BP算法,采用了由输入层、输出层、隐含层和量化层组成的一种4层前向模糊神经网络,通过Ⅱ型隶属度函数完成输入模糊化。建立了基于模糊神经网络的GNC分系统故障诊断系统,实验验证了改进BP算法以及该诊断系统的正确性和有效性。
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| 关 键 词： | 飞船 GNC分系统 模糊神经网络 故障诊断 |
| 文章编号： | 1006-3242(2006)06-0067-05 |
| 修稿时间： | 2006年7月27日 |
Fault Diagnosis for GNC Subsystem of Spacecraft Based on the Fuzzy Neural Network Techniques |
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| Cai Biao,Wang Nanhua.Fault Diagnosis for GNC Subsystem of Spacecraft Based on the Fuzzy Neural Network Techniques[J].Aerospace Control,2006,24(6):67-71. |
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| Authors: | Cai Biao Wang Nanhua |
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| Abstract: | In this paper,a fault diagnosis method on the basis of the fuzzy neural networks techniques for the GNC(Guide,Navigation and Control)subsystem of spacecraft is presented.A four layer network is set up,and a diagnosis system for the GNC subsystem of spacecraft is achieved.In the process of building the diagnosis system,the membership function named function and the new BP algorithm are introduced.Experiments demonstrate the effectiveness of the method proposed. |
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| Keywords: | Spacecraft GNC subsystem Fuzzy neural network Fault diagnosis |
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