As space debris has become a cause of concern for space operations around Earth, active debris removal and satellite servicing missions have gained increasing attention. Within this framework, in specific scenarios, the chaser might be asked to operate autonomously in the vicinity of a non-cooperative, unknown target. This paper presents a sampling-based receding-horizon motion planning algorithm that selects inspection maneuvers while taking many complex constraints into account. The proposed guidance solution is compared with classical approaches and it is shown to take advantage of the characteristics of the natural dynamics of the relative motion to outperform them. In addition, the impact of different input sampling exploration strategies is explored to propose a simple and more robust approach based on subset simulation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Guidance Strategy for Autonomous Inspection of Unknown Non-Cooperative Resident Space Objects


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2021-12-01


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Autonomous vehicle guidance in unknown environments

    CARPENTIERO, MARCO | BASE | 2020

    Freier Zugriff



    A UNIFIED APPROACH FOR OPTICAL SURVEY STRATEGY DESIGN OF RESIDENT SPACE OBJECTS

    Nafi, Akhter Mahmud / Bernard, Arun / Fujimoto, Kohei | British Library Conference Proceedings | 2016