Autonomous Real-time Relative Navigation for Formation Flying Satellites

被引:0
|
作者
Shim, Sunhwa [1 ]
Park, Sang-Young [1 ]
Choi, Kyu-Hong [1 ]
机构
[1] Yonsei Univ, Dept Astron, Astrodynam & Control Lab, Seoul 120749, South Korea
关键词
relative navigation; GPS; formation flying; extended Kalman filter; unscented Kalman filter;
D O I
暂无
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Relative navigation system is presented using GPS measurements from a single-channel global positioning system (GPS) simulator. The objective of this study is to provide the real-time inter-satellite relative positions as well as absolute positions for two formation flying satellites in low earth orbit. To improve the navigation performance, the absolute states are estimated using ion-free GRAPHIC (group and phase ionospheric correction) pseudo-ranges and the relative states are determined using double differential carrier-phase data and singled-differential C/A code data based on the extended Kalman filter and the unscented Kalman filter. Furthermore, pseudo-relative dynamic model and modified relative measurement model are developed. This modified EKF method prevents non-linearity of the measurement model from degrading precision by applying linearization about absolute navigation solutions not about the priori estimates. The LAMBDA method also has been used to improve the relative navigation performance by fixing ambiguities to integers for precise relative navigation. The software-based simulation has been performed and the steady state accuracies of 1 m and 6 mm (1 sigma of 3-dimensional difference errors) are achieved for the absolute and relative navigation using EKF for a short baseline leader/follower formation. In addition, the navigation performances are compared for the EKF and the UKF for 10 hours simulation, and relative position errors are mm-level for the two filters showing the similar trends.
引用
收藏
页码:59 / 74
页数:16
相关论文
共 50 条
  • [21] Real-Time Flight Testing for Developing an Autonomous Indoor Navigation System for a Multi-Rotor Flying Vehicle
    Kim, Hyeon
    Lee, Deok Jin
    [J]. TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2016, 40 (04) : 343 - 352
  • [22] Highly Efficient Real-Time Kinematic-Based Precise Relative Navigation for Autonomous Rendezvous CubeSat
    Shim, Hanjoon
    Kee, Changdon
    [J]. NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION, 2024, 71 (03):
  • [23] The methods of relative navigation of satellites formation flight
    Erkec, Tuncay Yunus
    Hajiyev, Chingiz
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABLE AVIATION, 2020, 6 (04) : 260 - 279
  • [24] Real-time navigation of formation-flying spacecraft using global-positioning-system measurements
    Leung, S
    Montenbruck, O
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2005, 28 (02) : 226 - 235
  • [25] Real-Time Autonomous System of Navigation using a Stereoscopic Camera
    Mihalcea, Georgiana
    Suciu, George
    Vasilescu, Cristian
    [J]. 2018 12TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM), 2018, : 497 - 500
  • [26] Real-time assessment of terrain traversability for autonomous rover navigation
    Howard, A
    Homayoun, S
    [J]. 2000 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2000), VOLS 1-3, PROCEEDINGS, 2000, : 58 - 63
  • [27] Visual interaction for real-time navigation of autonomous mobile robots
    Della Vedova, Marco L.
    Facchinetti, Tullio
    Ferrara, Antonella
    Martinelli, Alessandro
    [J]. 2009 INTERNATIONAL CONFERENCE ON CYBERWORLDS, 2009, : 211 - 218
  • [28] Autonomous Formation Keeping of Geostationary Satellites with Regional Navigation Satellites and Dynamics
    Kumar, Vinod
    Hablani, Hari B.
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2017, 40 (03) : 563 - 583
  • [29] Real-Time Deep Learning Based Safe Autonomous Navigation
    Dutta, Tuhin
    Reddy, D. Santhosh
    Rajalakshmi, P.
    [J]. 2024 8TH INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION, ICRCA 2024, 2024, : 400 - 406
  • [30] Real-time Autonomous Vehicle Navigation under Unknown Dynamics
    Kedia, Shubham
    Karumanchi, Sambhu H.
    [J]. 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 86 - 92