The Ares I-X trajectory reconstruction produced best estimated trajectories of the flight test vehicle ascent through stage separation, and of the first and upper stage entries after separation. The trajectory reconstruction process combines on-board, ground-based, and atmospheric measurements to produce the trajectory estimates. The Ares I-X vehicle had a number of on-board and ground based sensors that were available, including inertial measurement units, radar, air-data, and weather balloons. However, due to problems with calibrations and/or data, not all of the sensor data were used. The trajectory estimate was generated using an Iterative Extended Kalman Filter algorithm, which is an industry standard processing algorithm for filtering and estimation applications. This paper describes the methodology and results of the trajectory reconstruction process, including flight data preprocessing and input uncertainties, trajectory estimation algorithms, output transformations, and comparisons with preflight predictions.


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    Title :

    Ares I-X Best Estimated Trajectory Analysis and Results


    Contributors:

    Conference:

    44th Combustion Meeting ; 2011 ; Arlington, VA, United States
    32nd Airbreathing Propulsion Meeting ; 2011 ; Arlington, VA, United States
    32nd Exhaust Plume and Signatures Meeting ; 2011 ; Arlington, VA, United States
    58th JANNAF Propulsion Meeting ; 2011 ; Arlington, VA, United States


    Publication date :

    2011-04-18


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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