Title:
Statistical Entry, Descent, and Landing Performance Reconstruction of the Mars Science Laboratory

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Author(s)
Dutta, Soumyo
Braun, Robert D.
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Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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Supplementary to
Abstract
The Mars Science Laboratory spacecraft landed an approximately 900 kg rover on Mars on August 5, 2012 while using the largest aeroshell and supersonic parachute ever utilized by a planetary entry mission. Similar to past Mars missions, the spacecraft recorded inertial measurement unit data and radar altimeter measurements during its descent through the Martian atmosphere, but its aeroshell was also instrumented with ush atmospheric data system sensors that captured the pressure distribution on the vehicle during hypersonic and supersonic flight regimes. The rich data set enabled a comprehensive post flight analysis of the vehicle's trajectory. This paper shows the vehicle's reconstructed trajectory, aerodynamics, and atmospheric conditions using several statistical estimation methods, specifically the Extended Kalman filter, Unscented Kalman filter, and adaptive filter. The statistical estimation methods allow for both state estimation and uncertainty quantification of model errors, which could improve design of future Mars entry missions.
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Date Issued
2014-01
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Text
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Paper
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