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Fault diagnosis method of link control system for gravitational wave detection

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To maintain the stability of the inter-satellite link for gravitational wave detection,an intelligent learning monitoring and fast warning method of the inter-satellite link control system failure is proposed.Different from the traditional fault diagnosis optimization algorithms,the fault intelligent learning method pro-posed in this paper is able to quickly identify the faults of inter-satellite link control system despite the existence of strong cou-pling nonlinearity.By constructing a two-layer learning network,the method enables efficient joint diagnosis of fault areas and fault parameters.The simulation results show that the average identification time of the system fault area and fault parameters is 0.27 s,and the fault diagnosis efficiency is improved by 99.8%compared with the traditional algorithm.

large scale multi-satellite formationgravitational wave detectionlaser link monitoringfault diagnosisdeep learning

GAO Ai、XU Shengnan、ZHAO Zichen、SHANG Haibin、XU Rui

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School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China

Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration,Ministry of Industry and Information Technology,Beijing 100081,China

Key Laboratory of Dynamics and Control of Flight Vehicle,Ministry of Education,Beijing 100081,China

National Key Research and Development Program TopicsNational Natural science Foundation of China

2020YFC220090211872110

2024

系统工程与电子技术(英文版)
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子:0.64
ISSN:1004-4132
年,卷(期):2024.35(4)