z-logo
open-access-imgOpen Access
Trajectory Reconstruction and Uncertainty Analysis using Mars Science Laboratory Pre-Flight Scale Model Aeroballistic Testing
Author(s) -
Rafael Lugo,
R. H. Tolson,
Mark Schoenenberger
Publication year - 2013
Publication title -
51st aiaa aerospace sciences meeting including the new horizons forum and aerospace exposition
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2013-1132
Subject(s) - mars exploration program , trajectory , scale (ratio) , aerospace engineering , computer science , astrobiology , aeronautics , environmental science , remote sensing , engineering , geology , astronomy , physics , quantum mechanics
As part of the Mars Science Laboratory (MSL) trajectory reconstruction effort at NASA Langley Research Center, free-flight aeroballistic experiments of instrumented MSL scale models was conducted at Aberdeen Proving Ground in Maryland. The models carried an inertial measurement unit (IMU) and a flush air data system (FADS) similar to the MSL Entry Atmospheric Data System (MEADS) that provided data types similar to those from the MSL entry. Multiple sources of redundant data were available, including tracking radar and on-board magnetometers. These experimental data enabled the testing and validation of the various tools and methodologies that will be used for MSL trajectory reconstruction. The aerodynamic parameters Mach number, angle of attack, and sideslip angle were estimated using minimum variance with a priori to combine the pressure data and pre-flight computational fluid dynamics (CFD) data. Both linear and non-linear pressure model terms were also estimated for each pressure transducer as a measure of the errors introduced by CFD and transducer calibration. Parameter uncertainties were estimated using a "consider parameters" approach.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom