Integrated Trajectory, Atmosphere, and Aerothermal Reconstruction Methodology Using the Medli Dataset

نویسندگان

  • Soumyo Dutta
  • Milad Mahzari
  • Todd R. White
  • Robert D. Braun
چکیده

The Mars Science Laboratory (MSL) mission’s instrumentation will enable accurate reconstruction of the vehicle’s entry, descent, and landing (EDL) performance including the trajectory, the observed atmosphere, aerodynamics, aeroheating, and heatshield material response. The objective of this paper is to develop methodologies for an integrated approach to the reconstruction of the vehicle’s EDL performance. Two estimation approaches are presented: Serial and Concurrent. The serial approach is demonstrated by application to the Mars Pathfinder flight data and estimating trajectory and aeroheating performance.

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تاریخ انتشار 2012