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Neural network-based fault diagnosis scheme for satellite attitude control system
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
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
会议录名称Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
出版者IEEE
出版地New York
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
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22393
专题空间自动化技术研究室
通讯作者Gao S(高升)
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Gao S,Zhang W,He X,et al. Neural network-based fault diagnosis scheme for satellite attitude control system[C]. New York:IEEE,2018:3990-3995.
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