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题名:
Neural network-based fault diagnosis scheme for satellite attitude control system
作者: Gao S(高升); Zhang W(张伟); He X(何旭); Cao YX(曹云侠
作者部门: 空间自动化技术研究室
通讯作者: Gao S(高升)
会议名称: 30th Chinese Control and Decision Conference, CCDC 2018
会议日期: June 9, 2018 - June 11, 2018
会议地点: Shenyang, China
会议录: Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
会议录出版者: IEEE
会议录出版地: New York
出版日期: 2018
页码: 3990-3995
收录类别: EI
EI收录号: 20183205650004
产权排序: 1
ISBN号: 978-1-5386-1243-9
关键词: BP Neural Network, ; Fault Diagnosis ; Satellite ; Attitude Control System
摘要: In order to improve reliability of on-orbit satellite, this paper proposes a novel fault diagnosis scheme based on BP neural network method for satellite attitude control systems (ACSs) subject to external disturbances of the system. First, a model of the satellite ACS is established. Second, the BP neural network is introduced in detail, which includes its structure and learning algorithm. Then, a fault diagnosis scheme based on the BP neural network observer is designed and further a recursive multistep prediction method is presented to train the network. Furthermore, the prediction output of the observer is used to compare with the real output of sensors to generate residual that is further used to diagnose faults of the system. Finally, numerical simulations of a satellite ACS are performed to illustrate the effectiveness and potential applications of the proposed scheme.
语种: 英语
内容类型: 会议论文
URI标识: http://210.72.131.170/handle/173321/22455
Appears in Collections:空间自动化技术研究室_会议论文

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作者单位: Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

Recommended Citation:
Gao S,Zhang W,He X,et al. Neural network-based fault diagnosis scheme for satellite attitude control system[C]. 30th Chinese Control and Decision Conference, CCDC 2018. Shenyang, China. June 9, 2018 - June 11, 2018.Neural network-based fault diagnosis scheme for satellite attitude control system.
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