超大星座卫星的可靠性问题及其对空间碎片环境的影响

Antonio Harrison Sánchez, T. Soares, Andrew Wolahan
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引用次数: 19

摘要

巨型星座是卫星通信业务面临的新挑战之一。针对对低成本宽带能力日益增长的需求,特别是在使用地面网络有限的发展中国家,已经提出了若干廉价的低地球轨道卫星大型网络的概念。在这方面,鉴于由于涉及的卫星数量众多,如果卫星无法脱离轨道,将对空间碎片环境造成潜在的灾难性影响,确定大星座卫星的可靠性是一个关键方面。然而,在没有详细设计的情况下预测可靠性是一项具有挑战性的任务,因为使用基于手册的方法进行自下而上的分析是不可能的。此外,目前空间应用的可靠性预测过程还存在许多不足和局限性。其次,由于大星座卫星供应商提出的革命性设计、制造和测试方法,低地球轨道(LEO)卫星的现有现场数据可能不具有代表性。最后,所有这些都导致超大星座卫星的预测可靠性存在很大的不确定性,从而对空间环境造成相应的风险。为了解决这种情况,作者已经确定了一些潜在的解决方案来降低风险,包括设计措施、操作程序和改进可靠性评估过程。
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Reliability aspects of mega-constellation satellites and their impact on the space debris environment
Mega-constellations are one of the emerging challenges in the satellite communication business. Several concepts of large networks of inexpensive low Earth orbiting satellites have been proposed in response to the ever increasing demand for low cost broadband capacity, particularly in developing countries where there is limited access to terrestrial networks. In this context, mega-constellation satellite reliability is identified as a key aspect in-view of the potential catastrophic impact on the space debris environment if satellites fail to deorbit given the large number of satellites involved. However, predicting reliability without having a detailed design is a challenging task as bottom up analyses using handbook based methods are not possible. Moreover, there are many inadequacies and limitations with the current reliability prediction process for space applications. Secondly, the available field data regarding low Earth orbit (LEO) satellites may not be representative due to the revolutionary design, manufacturing, and testing approach proposed by the mega-constellation satellite suppliers. Finally, all this leads to a large uncertainty in the predicted reliability of mega-constellation satellites with a consequential risk to the space environment. In order to address the situation, the authors have identified a number of potential solutions to mitigate the risk including design measures, operational procedures, and improvements to the reliability assessment process.
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