Reachable and controllable sets for electric propulsion spacecraft are important to many problems including: dynamic replanning, robust mission design, space situational awareness, assessing advanced concepts, and threat assessments. Current methods result in a two-point boundary value problem or are limited in their application. We solve the reachable and controllable problem by formulating it as a multi-stage indirect approach. We demonstrate that this enables rapid, reliable, and autonomous estimates of the reachable and controllable set. We show that our approach works in strong multi-body environments (i.e., flybys) and incorporate uncertainty in initial conditions. These make the algorithm suitable for space situational awareness and deep space applications.


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    Title :

    Rapidly and Automatically Estimating Reachability of Electric Propulsion Spacecraft


    Contributors:

    Publication date :

    2022


    Size :

    22 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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