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Atmospheric risk assessment for the Mars Science Laboratory entry, descent, and landing system

机译:火星科学实验室入口,下降和着陆系统的大气风险评估

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摘要

In 2012, the Mars Science Laboratory (MSL) mission will pioneer the next generation of robotic Entry, Descent, and Landing (EDL) systems, by delivering the largest and most capable rover to date to the surface of Mars. As with previous Mars landers, atmospheric conditions during entry, descent, and landing directly impact the performance of MSL's EDL system. While the vehicle's novel guided entry system allows it to "fly out" a range of atmospheric uncertainties, its trajectory through the atmosphere creates a variety of atmospheric sensitivities not present on previous Mars entry systems and landers. Given the mission's stringent landing capability requirements, understanding the atmosphere state and spacecraft sensitivities takes on heightened importance. MSL's guided entry trajectory differs significantly from recent Mars landers and includes events that generate different atmospheric sensitivities than past missions. The existence of these sensitivities and general advancement in the state of Mars atmospheric knowledge has led the MSL team to employ new atmosphere modeling techniques in addition to past practices. A joint EDL engineering and Mars atmosphere science and modeling team has been created to identify the key system sensitivities, gather available atmospheric data sets, develop relevant atmosphere models, and formulate methods to integrate atmosphere information into EDL performance assessments. The team consists of EDL engineers, project science staff, and Mars atmospheric scientists from a variety of institutions. This paper provides an overview of the system performance sensitivities that have driven the atmosphere modeling approach, discusses the atmosphere data sets and models employed by the team as a result of the identified sensitivities, and introduces the tools used to translate atmospheric knowledge into quantitative EDL performance assessments.
机译:2012年,火星科学实验室(MSL)的任务将通过向火星表面提供迄今为止最大,能力最强的火星车,率先开发下一代机器人进入,下降和着陆(EDL)系统。与以前的火星着陆器一样,进入,下降和着陆期间的大气条件直接影响MSL的EDL系统的性能。车辆的新型引导式进气系统可以使其“飞出”一系列大气不确定性,但其在大气中的轨迹却产生了各种以往的火星进气系统和着陆器所不具备的大气敏感性。鉴于飞行任务对着陆能力的严格要求,了解大气状况和航天器的敏感性变得尤为重要。 MSL的引导进入轨迹与最近的火星着陆器明显不同,并且包括与过去的任务相比产生不同大气敏感性的事件。这些敏感性的存在以及火星大气知识状况的普遍进步,导致MSL团队除了过去的实践之外,还采用了新的大气建模技术。 EDL工程和火星大气科学与建模联合团队已经创建,以识别关键系统的敏感性,收集可用的大气数据集,开发相关的大气模型以及制定将大气信息整合到EDL绩效评估中的方法。该团队由EDL工程师,项目科学人员和来自各种机构的火星大气科学家组成。本文概述了驱动大气建模方法的系统性能敏感性,讨论了由于确定的敏感性而团队使用的大气数据集和模型,并介绍了用于将大气知识转化为定量EDL性能的工具。评估。

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