Inertia Parameter Identification for an Unknown Satellite in Precapture Scenario

Joint Authors

Liu, Xiao-Feng
Zhang, Xiao-Yu
Chen, Pei-Ran
Cai, Guo-Ping

Source

International Journal of Aerospace Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-06-23

Country of Publication

Egypt

No. of Pages

18

Abstract EN

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.

American Psychological Association (APA)

Liu, Xiao-Feng& Zhang, Xiao-Yu& Chen, Pei-Ran& Cai, Guo-Ping. 2020. Inertia Parameter Identification for an Unknown Satellite in Precapture Scenario. International Journal of Aerospace Engineering،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1168188

Modern Language Association (MLA)

Liu, Xiao-Feng…[et al.]. Inertia Parameter Identification for an Unknown Satellite in Precapture Scenario. International Journal of Aerospace Engineering No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1168188

American Medical Association (AMA)

Liu, Xiao-Feng& Zhang, Xiao-Yu& Chen, Pei-Ran& Cai, Guo-Ping. Inertia Parameter Identification for an Unknown Satellite in Precapture Scenario. International Journal of Aerospace Engineering. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1168188

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1168188