In Micro/Nano-satellite based active debris removal (ADR), the most promoted relative navigation method is angles-only navigation (AON), the relative state estimations are computed from a low-volume/mass, power saving, and low-cost optical/infrared camera's observations, but the uncooperative rendezvous faces drawback of range-observability problem. Based on the drawbacks of the extended Kalman filter (EKF), a more accurate on-board square root unscented Kalman filter (SRUKF) AON scheme is developed, along with a closed-loop linear covariance analysis model. By balancing fuel consumption, control accuracy, and trajectory robustness, we developed a smarter time and covariance threshold triggered optimal maneuver planning method and showed how these results correlate to past methods and missions, and how they could potentially influence future ones. Numerical simulation proved that it is feasible to control the two-line element (TLE) level of an uncertain initial relative state to a 100-m v-bar relative station keeping point, under a 30% data gap per orbital period on account of the eclipse.


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    Title :

    Time and covariance threshold triggered optimal uncooperative rendezvous using angles only navigation


    Contributors:
    You Yue (author) / Wang Hua (author) / Paccolat, Christophe (author) / Li Jiu Ren (author)


    Publication date :

    2016-08-01


    Size :

    737461 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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