Title :
Atmospheric risk assessment for the Mars Science Laboratory Entry, Descent, and Landing system
Author :
Chen, Allen ; Vasavada, Ashwin ; Cianciolo, Alicia ; Barnes, Jeff ; Tyler, Dan ; Rafkin, Scot ; Hinson, David ; Lewis, Stephen
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
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.
Keywords :
Mars; aircraft landing guidance; planetary atmospheres; planetary rovers; risk management; space research; space vehicles; EDL performance assessments; MSL EDL system; Mars Science Laboratory; Mars atmosphere science; Mars atmospheric knowledge; Mars entry systems; atmosphere modeling techniques; atmospheric data sets; atmospheric risk assessment; guided entry system; robotic entry descent and landing system; rover; Atmosphere; Atmospheric modeling; Data engineering; Laboratories; Mars; Risk management; Robots; Space vehicles; System performance; Uncertainty;
Conference_Titel :
Aerospace Conference, 2010 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-3887-7
Electronic_ISBN :
1095-323X
DOI :
10.1109/AERO.2010.5447015