Affiliation:
1. National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an 710072, China
2. School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China
3. School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, China
Abstract
Non-cooperative targets, such as space debris, defunct spacecrafts and LEO constellation satellites, have brought serious risks to the space station. The rapid detection and orbital parameters’ determination of the fast-approaching non-cooperative target can greatly improve the protection ability of the space station. In this paper, a novel rapid detection and orbital parameters’ determination method based on the collaborative observation of the space station, and a fly-around nano-satellite is developed. The early-warning region of the space station is established, and considering the observation constraints of the nano-satellite, the non-cooperative target detection strategy is provided, which includes a collaborative observation configuration as well as the attitude variation of the cameras, and the detection efficiency is analyzed. Then, the orbital parameters’ filtering model of the non-cooperative target based on the collaborative observation is constructed, and the Unscented Kalman filter method is utilized to determinate the orbital parameters of the non-cooperative target. Considered the observability of the initial collaborative observation configuration, this paper analyzes the observation configuration with low observability in different scenarios, and proposes an optimal orbital maneuver algorithm for the nano-satellite. This algorithm can realize a fuel-optimal orbital maneuver that satisfies the minimum line-of-sight angle constraint of the collaborative observation.
Subject
General Earth and Planetary Sciences
Reference25 articles.
1. The technical challenges of better Space Situational Awareness and Space Traffic Management;Oltrogge;J. Space Saf. Eng.,2019
2. Xu, S.X. (2019). Research on Visual Relative Pose Measurement of Non-Cooperative Spacecraft, Nanjing University of Science and Technology.
3. Du, Y.Q. (2020). Research on Key Technologies of Space Situational Awareness Based on Binocular Vision Satellite Formation, Zhejiang University.
4. Safety, Reliability, Maintainability and Life Assessment of NASA International Space Station;Chen;Qual. Reliab.,2020
5. Development of Micro-nano Electronic Reconnaissance Satellite;Wang;Aerosp. Electron. Warf.,2018
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