In this paper we consider the problem of aerocapture guidance inside an atmosphere with the density randomly perturbed according to a Gaussian process model. We formulate the problem of solving for a single bank event as a stochastic optimization problem and then, in terms of a 3-DoF Martian aerocapture example, we study the properties of the proposed approach compared to a standard deterministic approach. The stochastic approach is shown to decrease the risk that a large delta-$V$ is required for maneuvering after atmospheric flight to reach a target apoapsis and periapsis.


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    Title :

    Stochastic Atmosphere Modeling for Risk Adverse Aerocapture Guidance


    Contributors:


    Publication date :

    2020-03-01


    Size :

    1011674 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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