Many academic studies in spaceflight dynamics rely on simplified dynamical models, such as restricted three-body models or averaged forms of the equations of motion of an orbiter. In practice, the end result of these preliminary orbit studies needs to be transformed into more realistic models, in particular to generate good initial guesses for high-fidelity trajectory optimization tools like Mystic. This paper reviews and extends some of the approaches used in the literature to perform such a task, and explores the inherent trade-offs of such a transformation with a view toward automating it for the case of ballistic arcs. Sample test cases in the libration point regimes and small body orbiter transfers are presented.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Automating Initial Guess Generation for High Fidelity Trajectory Optimization Tools


    Contributors:

    Conference:

    AAS/AIAA Astrodynamics Specialist Conference ; 2013 ; Hilton Head, SC, United States


    Publication date :

    2013-08-11


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Initial Guess Generation for Aircraft Landing Trajectory Optimization

    Tsiotras, Panagiotis / Bakolas, Efstathios / Zhao, Yiming | AIAA | 2011


    Initial Guess Generation for Aircraft Landing Trajectory Optimization

    Bakolas, E. / Zhao, Y. / Tsiotras, P. et al. | British Library Conference Proceedings | 2011