Abstract In this work we study the problem of minimum energy docking maneuvers between two Floating Spacecraft Simulators. The maneuvers are planar and conducted autonomously in a cooperative mode. The proposed guidance strategy is based on the direct method known as Inverse Dynamics in the Virtual Domain, and the nonlinear programming solver known as Sequential Gradient-Restoration Algorithm. The combination of these methods allows for the quick prototyping of near-optimal trajectories, and results in an implementable tool for real-time closed-loop maneuvering. The experimental results included in this paper were obtained by exploiting the recently upgraded Floating Spacecraft-Simulator Testbed of the Spacecraft Robotics Laboratory at the Naval Postgraduate School. A direct performances comparison, in terms of maneuver energy and propellant mass, between the proposed guidance strategy and a LQR controller, demonstrates the effectiveness of the method.

    Highlights We consider minimum energy docking maneuvers between two Spacecraft Simulators. Such maneuvers are planar and executed autonomously in a cooperative mode. The proposed guidance combines a direct method and a nonlinear programing solver. Experimental results were obtained at the Spacecraft Robotics Laboratory. The proposed guidance proved to be more fuel-efficient than an LQR controller.


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    Titel :

    A near-optimal guidance for cooperative docking maneuvers


    Beteiligte:

    Erschienen in:

    Acta Astronautica ; 102 ; 367-377


    Erscheinungsdatum :

    2014-01-06


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch