During conceptual design speed and accuracy are often at odds. Specifically in the realm of launch vehicles, optimizing the ascent trajectory requires a larger pool of analytical power and expertise. Experienced analysts working on familiar vehicles can produce optimal trajectories in a short time frame, however whenever either "experienced" or "familiar " is not applicable the optimization process can become quite lengthy. In order to construct a vehicle agnostic method an established global optimization algorithm is needed. In this work the authors develop an "artificial" error term to map arbitrary control vectors to non-zero error by which a global method can operate. Two global methods are compared alongside Design of Experiments and random sampling and are shown to produce comparable results to analysis done by a human expert.


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    Title :

    Automation of POST Cases via External Optimizer and "Artificial p2" Calculation


    Contributors:

    Conference:

    American Institute of Aeronautics and Astronautics (AIAA) Space ; 2017 ; Orlando, FL, United States


    Publication date :

    2017-09-12


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English





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