The purpose of this paper is to present a method to obtain the inertia parameter of a captured unknown space target.

    Design/methodology/approach

    An inertia parameter identification method is proposed in the post-capture scenario in this paper. This method is to resolve parameter identification with two steps: coarse estimation and precise estimation. In the coarse estimation step, all the robot arms are fixed and inertia tensor of the combined system is first calculated by the angular momentum conservation equation of the system. Then, inertia parameters of the unknown target are estimated using the least square method. Second, in the precise estimation step, the robot arms are controlled to move and then inertia parameters are once again estimated by optimization method. In the process of optimization, the coarse estimation results are used as an initial value.

    Findings

    Numerical simulation results prove that the method presented in this paper is effective for identifying the inertia parameter of a captured unknown target.

    Practical implications

    The presented method can also be applied to identify the inertia parameter of space robot.

    Originality/value

    In the classic momentum-based identification method, the linear momentum and angular momentum of system, both considered to be conserved, are used to identify the parameter of system. If the elliptical orbit in space is considered, the conservation of linear momentum is wrong. In this paper, an identification based on the conservation of angular momentum and dynamics is presented. Compared with the classic momentum-based method, this method can get a more accurate identification result.


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    Titel :

    Inertia parameter identification of anunknown captured space target


    Beteiligte:
    Liu, Xiaofeng (Autor:in) / Zhou, Bangzhao (Autor:in) / Xiao, Boyang (Autor:in) / Cai, Guoping (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2019-05-28


    Format / Umfang :

    1 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch