一种星地联合的自主轨道预报方法
投稿时间:2018-06-16  修订日期:2018-07-25  点此下载全文
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作者单位邮编
常中祥 湖南大学工商管理学院 
周忠宝 湖南大学工商管理学院 
邢立宁* 国防科技大学 410073
贺仁杰 国防科技大学系统工程学院 
文龙 西安卫星测控中心地面站网管理中心 
瞿涵 中国空间技术研究院 
中文摘要:为解决星上自主任务规划的长时间轨道预报需要,提供一种占用空间较小、运行速度较快的星上自主轨道预报方法。设计一种星地联合的轨道预报方法,地面采用精确轨道预报模型,给出未来一段时间内多个以指定时间间隔的轨道瞬根,通过及时通道(如北斗卫星)上注卫星,星上采用简化轨道预报模型,基于分段轨道瞬根进行分段预报,并拼接成连续的轨道数据。星上联合的轨道预报不仅有效提高了星上轨道预报的精确度(分段间隔为600s时,位置误差优于35m),而且采用并行计算大大提升了轨道预报的速度(分段间隔为600s时,算法运行耗时优于0.001s)。同时采用最小二乘数值拟合法,给出了轨道预报精度与分段时间间隔的函数关系式,指导设置星地联合轨道预报的分段时间间隔。星地联合的轨道预报方法成功有效地解决了星上自主轨道预报问题。
中文关键词:星上自主任务规划  星上自主轨道预报  最小二乘法  并行计算
 
A Method for Satellite Orbit Prediction with Ground and On-board
Abstract:In order to solve the long time orbit prediction of the autonomous mission planning on-board, a autonomous orbit prediction method with small space and faster running speed is provided. A method for Satellite Orbit Prediction With Ground and On-board (SOPWGO) is designed. In the respect of Ground, it adopts the precise orbit prediction model, gives the orbital roots with specified time intervals in the future, and then injectes these orbital roots to satellite through the timely channel(like Beidou). On the orther hand, in the respect of On-board it adopts the simplified orbit prediction model and piecewise orbit predictes based on the those orbital roots, then which are splited joint to use. The method not only effectively improves the accuracy of satellite orbit prediction (interval time is 600s, the error of the position is less than 35m), but also greatly enhances the calculation speed by parallel computing (interval time is 600s, the time consumption is less than 0.001s). In addition, the relation equation between the prediction accuracy and the interval time is given by the least square fitting, which can guide the setting of interval time using SOPWGO. The SOPWGO has successfully and effectively solved the problem of the long time orbit prediction for autonomous satellites.
keywords:Autonomous mission planning  Satellite orbit prediction on-board  Least square fitting  Parallel computing
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