Inertia Parameter Identification for an Unknown Satellite in Precapture Scenario

Autor: Xiao-Feng Liu, Xiao-Yu Zhang, Pei-Ran Chen, Guo-Ping Cai
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Aerospace Engineering, Vol 2020 (2020)
Druh dokumentu: article
ISSN: 1687-5966
1687-5974
DOI: 10.1155/2020/7521434
Popis: The problem of dynamics and control using a space robot to capture a noncooperative satellite is an important issue for on-orbit services. Inertia parameters of the satellite should be identified before capturing such that the robot can design an active controller to finish the capturing task. In this paper, a new identification scheme is proposed for parameter identification of a noncooperative satellite. In this scheme, the space robot is controlled to contact softly and then maintain contact with the noncooperative target firstly, then the variation of momentum of the target during the contact-maintaining phase is calculated using the control force and torque acting on the base of the space robot and the kinematic information of the space robot, and finally, the momentum-conservation-based identification method is used to estimate inertia parameters of the target. To realize soft contact and then maintain contact, a damping contact controller is designed in this paper, in which a mass-damping system is designed to control the contact between the robot and the target. Soft contact and then contact maintenance can be realized by utilizing the buffering characteristics of the mass-damping system. The effectiveness of the proposed identification scheme is verified through numerical simulations at the end of this paper. Simulation results indicate that the proposed scheme can achieve high-precision identification results.
Databáze: Directory of Open Access Journals
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