A comparison is made between constrained, two-dimensional, reentry reference trajectories generated by genetic and sequential quadratic programming methods. The objective is to generate a reentry trajectory with minimum control while satisfying constraints on dynamic pressure, heating, lifting, final velocity and altitude. It is shown that the genetic programming method discovered much smoother trajectories that easily satisfy all constraints.


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    Title :

    Trajectory Generation Using Genetic and Sequential Quadratic Programming Methods


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    World Aviation Congress & Exposition ; 2001



    Publication date :

    2001-09-10




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English


    Keywords :





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