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DORIS系统自主在轨实时定轨的实现与精度分析
引用本文:邢楠,曹建峰,李培佳,黄勇,胡小工,王小亚.DORIS系统自主在轨实时定轨的实现与精度分析[J].宇航学报,2012,33(5):533-540.
作者姓名:邢楠  曹建峰  李培佳  黄勇  胡小工  王小亚
作者单位:1. 中科院上海天文台,上海200030;中国科学院研究生院,北京100049;航天飞行动力学技术重点实验室,北京100094
2. 中科院上海天文台,上海200030;中国科学院研究生院,北京100049;北京航天指挥控制中心,北京100094
3. 中科院上海天文台,上海200030;中国科学院研究生院,北京100049
4. 中科院上海天文台,上海,200030
基金项目:国家自然科学基金,*,上海市空间导航与定位技术重点实验室资助
摘    要:国家科技重大专项高分辨率空间对地观测项目的实施,对卫星平台的自主在轨实时定轨提出了新的需求.由法国发展的DORIS实时定轨系统虽已成功应用于多个对地观测平台,但该系统从未公布其原始数据和数据处理的技术细节,因此本文尝试利用DORIS地面主控站提供的ENVISAT标准格式多普勒数据,假设星上自主定轨时采用相同的数据,基于卡尔曼滤波算法实现(仿真)自主实时定轨.计算表明仅考虑简单的非球形引力模型,对于位置误差1km,速度误差1m/s的初始条件,2小时后滤波趋于稳定,滤波精度为十米量级,速度精度为厘米每秒级.为提高滤波计算效率,对坐标系统转换进行简化后,定轨精度仍在十米量级.基于DORIS仿真测量数据滤波计算表明,随着测量精度的提高和每圈观测弧段的增加,滤波计算的精度也会得到有效提高.

关 键 词:推广卡尔曼滤波  DORIS  ENVISAT  轨道计算

Realization and Accuracy Analysis of Real-Time Orbit Determination for DORIS System
XING Nan , CAO Jian-feng , LI Pei-jia , HUANG Yong , HU Xiao-gong , WANG Xiao-ya.Realization and Accuracy Analysis of Real-Time Orbit Determination for DORIS System[J].Journal of Astronautics,2012,33(5):533-540.
Authors:XING Nan  CAO Jian-feng  LI Pei-jia  HUANG Yong  HU Xiao-gong  WANG Xiao-ya
Institution:1 (1.Shanghai Astronomical Observatory,Chinese Academy of Sciences,Shanghai 200030,China; 2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China; 3.Science and Technology on Aerospace Flight dynamics Laboratory,Beijing 100094, China; 4.Beijing Aerospace Control and Command Center,Beijing 100094,China)
Abstract:The performance of National science and technology major project,namely high-resolution space Earth observation project,has raised a new demand for real-time orbit determination in order to serve effective management of Earth observation payload.DORIS system is one of the effective means for real-time orbit service in orbit and its onboard real time orbit determination system has successfully run on several payloads,yet its technical details have not been revealed.Real-time orbit determination is realized by using DORIS tracking data of ENVISAT based on Kalman-filter with a simplified dynamics model.The results show that,the filter algorithm tends to converge within 2 hours with a initial error of 1000m and 1m/s of position and velocity in three dimensions respectively,and reaches the accuracies of 10m for position and several centimeters per second for velocity.Moreover,coordinate transformation is simplified to improve the efficiency,only with little loss of accuracy.The simulation calculations also show that the accuracy of EKF improves effectively with improvement of measurement accuracy and increase of observation arcs.
Keywords:Extended Kalman filter  DORIS  ENVISAT  Orbit determination
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