Research on autonomous navigation method for the cruise phase of mars exploration

被引:0
|
作者
Song M. [1 ,2 ]
Yuan Y. [1 ]
机构
[1] State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan
[2] The Shanghai Key Laboratory of Space Navigation and Position Techniques, Shanghai
来源
| 1600年 / Editorial Board of Medical Journal of Wuhan University卷 / 41期
关键词
Autonomous navigation; Deep space exploration; Information fusion; Interplanetary cruise phase;
D O I
10.13203/j.whugis20140278
中图分类号
学科分类号
摘要
In order to meet the navigation demand of the Mars exploration cruise phase, an autonomous navigation method based on observing the Sun, Mars, Earth and Stars with different sensors is presented in this paper. According to the characteristics of celestial navigation, the paper analyzes the different observation models. After that, according to the operability of the Line-of-Sight between Earth and Mars, two navigation models are established which use the Sun, Earth and Star observations and the Sun, Mars, Star observations, respectively. Then combined with information fusion technology, a real-time position and velocity estimation of the probe is achieved in any kind of navigation model. Finally, the feasibility of the method is verified by simulations. Simulation results show that the proposed method can be more feasible and efficient using multi-source observations, and can provide precise orbit determination information which meets the navigation requirements of the Mars exploration cruise phase. © 2016, Research and Development Office of Wuhan University. All right reserved.
引用
收藏
页码:952 / 957
页数:5
相关论文
共 10 条
  • [1] Desai S., Han D., Bhaskaran S., Et al., Autonomous Optical Navigation (AutoNav) Technology Validation Report, (2002)
  • [2] Mastrodemos N., Kubitschek D.G., Robert A., Et al., Autonomous Navigation for the Deep Impact, The AAS/AIAA Space Flight Mechanics Meeting, (2006)
  • [3] Sheikh S.I., Hanson J.E., Collins J., Et al., Deep Space Navigation Augmentation Using Variable Celestial X-ray Sources, Institute of Navigation International Technical Meeting, (2009)
  • [4] Wu W., Ma X., Ning X., Autonomous Navigation Method with High Accuracy for Cruise Phase of Mars Probe, Science China, 42, 8, pp. 936-948, (2012)
  • [5] Yim J.R., Crassidis J.L., Junkins J.L., Autonomous Orbit Navigation of Interplanetary Spacecraft, AIAA/AAS Astrodynamics Specialist Conference, (2000)
  • [6] Chang X., Cui P., Cui H., Research on Autonomous Navigation Method of Deep Space Cruise Phase Based on the Sun Observation, Journal of Astronautics, 31, 4, pp. 1017-1023, (2010)
  • [7] Fang J., Ning X., Autonomous Deep-space Probe Celestial Navigation Method, (2010)
  • [8] Hermann R., Krener A.J., Nonlinear Controllability and Observability, IEEE Trans Autom Control, 22, 5, pp. 728-740, (1977)
  • [9] Cai Z., Zhao D., Unscented Kalman Filter for Non-linear Estimation, Geomatics and Information Science of Wuhan University, 31, 2, pp. 180-183, (2006)
  • [10] Vershinin Y.A., West M.J., A New Data Fusion Algorithm Based on the Continuous-time Decentralized Kalman Filter, Target Tracking: Algorithms and Applications, IEEE, 16, 1, pp. 1-6, (2001)