{"title":"基于后备资源有限的 GERT 的低地球轨道卫星星座生存力模型","authors":"Yuanyuan Nie, Zhigeng Fang, Sifeng Liu, Su Gao","doi":"10.23919/jsee.2024.000089","DOIUrl":null,"url":null,"abstract":"Survivability is used to evaluate the ability of the satellite to complete the mission after failure, while the duration of maintaining performance is often ignored. An effective backup strategy can restore the constellation performance timely, and maintain good network communication performance in case of satellite failure. From the perspective of network utility, the low Earth orbit (LEO) satellite constellation survivable graphical evaluation and review technology (GERT) network with backup satellites is constructed. A network utility transfer function algorithm based on moment generating function and Mason formula is proposed, the network survivability evaluation models of on-orbit backup strategy and ground backup strategy are established. The survivable GERT model can deduce the expected maintenance time of LEO satellite constellation under different fault states and the network utility generated during the state maintenance period. The case analysis shows that the proposed survivable GERT model can consider the satellite failure rate, backup satellite replacement rate, maneuver control replacement ability and life requirement, and effectively determine the optimal survivable backup strategy for LEO satellite constellation with limited resources according to the expected network utility.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Survivability Model of LEO Satellite Constellation Based on GERT with Limited Backup Resources\",\"authors\":\"Yuanyuan Nie, Zhigeng Fang, Sifeng Liu, Su Gao\",\"doi\":\"10.23919/jsee.2024.000089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Survivability is used to evaluate the ability of the satellite to complete the mission after failure, while the duration of maintaining performance is often ignored. An effective backup strategy can restore the constellation performance timely, and maintain good network communication performance in case of satellite failure. From the perspective of network utility, the low Earth orbit (LEO) satellite constellation survivable graphical evaluation and review technology (GERT) network with backup satellites is constructed. A network utility transfer function algorithm based on moment generating function and Mason formula is proposed, the network survivability evaluation models of on-orbit backup strategy and ground backup strategy are established. The survivable GERT model can deduce the expected maintenance time of LEO satellite constellation under different fault states and the network utility generated during the state maintenance period. The case analysis shows that the proposed survivable GERT model can consider the satellite failure rate, backup satellite replacement rate, maneuver control replacement ability and life requirement, and effectively determine the optimal survivable backup strategy for LEO satellite constellation with limited resources according to the expected network utility.\",\"PeriodicalId\":50030,\"journal\":{\"name\":\"Journal of Systems Engineering and Electronics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Systems Engineering and Electronics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.23919/jsee.2024.000089\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems Engineering and Electronics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.23919/jsee.2024.000089","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
生存能力用于评价卫星在故障后完成任务的能力,而保持性能的持续时间往往被忽视。有效的备份策略可以及时恢复星座性能,并在卫星失效时保持良好的网络通信性能。从网络效用的角度出发,构建了具有备份卫星的低地球轨道(LEO)卫星星座可生存图形评估和审查技术(GERT)网络。提出了基于矩生成函数和 Mason 公式的网络效用转移函数算法,建立了在轨备份策略和地面备份策略的网络生存性评估模型。可生存的 GERT 模型可推导出不同故障状态下 LEO 卫星群的预期维护时间以及状态维护期内产生的网络效用。案例分析表明,所提出的可生存 GERT 模型能够综合考虑卫星故障率、备份卫星替换率、机动控制替换能力和寿命要求,根据预期网络效用有效确定资源有限的低地球轨道卫星星座的最优可生存备份策略。
Survivability Model of LEO Satellite Constellation Based on GERT with Limited Backup Resources
Survivability is used to evaluate the ability of the satellite to complete the mission after failure, while the duration of maintaining performance is often ignored. An effective backup strategy can restore the constellation performance timely, and maintain good network communication performance in case of satellite failure. From the perspective of network utility, the low Earth orbit (LEO) satellite constellation survivable graphical evaluation and review technology (GERT) network with backup satellites is constructed. A network utility transfer function algorithm based on moment generating function and Mason formula is proposed, the network survivability evaluation models of on-orbit backup strategy and ground backup strategy are established. The survivable GERT model can deduce the expected maintenance time of LEO satellite constellation under different fault states and the network utility generated during the state maintenance period. The case analysis shows that the proposed survivable GERT model can consider the satellite failure rate, backup satellite replacement rate, maneuver control replacement ability and life requirement, and effectively determine the optimal survivable backup strategy for LEO satellite constellation with limited resources according to the expected network utility.