Xunjia Li, Xin Ma, T. Zhang, Xiaodong Han, Yajie Liu
{"title":"Research on Satellite Autonomous Fault Detection and Recovery Framework","authors":"Xunjia Li, Xin Ma, T. Zhang, Xiaodong Han, Yajie Liu","doi":"10.5220/0008385602930298","DOIUrl":null,"url":null,"abstract":"During the operation of the satellite in orbit, the operating state may change due to the fault. The impact of satellite failures on satellites is enormous. In this paper, satellite fault detection and recovery is taken as the research object, and an automatic fault detection and recovery framework (AFRF) for fault recognition and recovery of satellite autonomous operation and task re-planning is proposed. Artificial intelligence methods are used in the framework to implement on-board rapid diagnosis faults, autonomous fault repair, and autonomic task re-planning. The experimental results show that the proposed framework can solve the satellite fault problem well and has a good engineering application prospect.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0008385602930298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
During the operation of the satellite in orbit, the operating state may change due to the fault. The impact of satellite failures on satellites is enormous. In this paper, satellite fault detection and recovery is taken as the research object, and an automatic fault detection and recovery framework (AFRF) for fault recognition and recovery of satellite autonomous operation and task re-planning is proposed. Artificial intelligence methods are used in the framework to implement on-board rapid diagnosis faults, autonomous fault repair, and autonomic task re-planning. The experimental results show that the proposed framework can solve the satellite fault problem well and has a good engineering application prospect.