Improvement of the Long-Term Orbit Prediction for LEO Navigation Satellites Using the Inner Formation Method

被引：5

作者：

Wang, Zhaokui ^{[1
]}

Hou, Zhendong ^{[2
]}

Zhang, Yulin ^{[1
]}

机构：

[1] Tsinghua Univ, Sch Aerosp Engn, Beijing 100084, Peoples R China

[2] China Acad Space Technol, Inst Manned Space Syst Engn, Beijing 100094, Peoples R China

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2019年 / 55卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Orbits; Satellites; Satellite navigation systems; Space vehicles; Low earth orbit satellites; Extraterrestrial measurements; Fuels; Inner formation; navigation satellite; orbit maintaining; orbit prediction; PURE GRAVITY ORBIT; DRAG-FREE; PROOF MASS; DESIGN;

D O I：

10.1109/TAES.2019.2891158

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper, the concept of the inner formation navigation satellite is proposed. It operates in the low Earth orbit with very high autonomy to make the requirement for ground support minimized. A state transformation matrix-based orbit fitting method is presented for orbit prediction, and the long-term accumulation of prediction errors is investigated by simulations. The fuel consumption for orbit maintaining with a linear controller is discussed. Results show that the orbit can be predicted autonomously to the meter-level accuracy for 90 days if the constant component of residual nongravitational disturbance can be suppressed to 1 x 10(-13) m/s(2). The maximum fuel consumption for 5 years is on the order of 10 kg if optical sensors and electric thrusters are used for orbit maintaining.

引用

页码：2532 / 2542

页数：11

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