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粒子群算法的航天器初始轨道优化模型
引用本文:杜小宁,李瑛,耶刚强,樊恒海,黄永宣,李济生.粒子群算法的航天器初始轨道优化模型[J].哈尔滨工业大学学报,2011,43(5):144-148.
作者姓名:杜小宁  李瑛  耶刚强  樊恒海  黄永宣  李济生
作者单位:西安交通大学,西安交通大学电信学院,西安卫星测控中心,西安交通大学电子与信息工程学院,西安交通大学,西安交通大学
摘    要:为提高航天器发射段的初始轨道确定精度,及时精确地进行早期轨道段的测控,满足航天器用户的需求,提出一种基于粒子群优化算法的航天器初始轨道确定方法,将各种冗余备份设备的测量数据及测量精度等作为航天器初始轨道确定的输入元素,建立优化算法模型,以粒子群算法确定最优轨道.实验结果表明:大量实时冗余备份的不同测量精度、不同测量体制...

关 键 词:航天器  轨道确定  测量误差  粒子群优化算法

An optimizing model of initial orbit of spacecraft using PSO
DU Xiao-ning,LI Ying,YE Gang-qiang,FAN Heng-hai,HUANG Yong-xuan and LI Ji-sheng.An optimizing model of initial orbit of spacecraft using PSO[J].Journal of Harbin Institute of Technology,2011,43(5):144-148.
Authors:DU Xiao-ning  LI Ying  YE Gang-qiang  FAN Heng-hai  HUANG Yong-xuan and LI Ji-sheng
Affiliation:1(1.School of Electronics and Information Engineering,Xi’an Jiaotong University,710049 Xi’an,China; 2.Xi’an Satellite Control Center,710043 Xi’an,China)
Abstract:To improve the precision of initial orbit of spacecraft in launching phase, to execute timely and accurate TT&C in early orbit phase, and to meet the need of the users, this paper puts forward an initial orbit determination method which regards measurement datum and precision of all kinds of redundant and backup equipments as the input parameters of the optimization model and determines the optimized orbit based on Particle Swarm Optimization (PSO) method. The result indicates that it is significant to improve the precision of initial orbit of spacecraft by using a number of measurement data and the precision of different redundant and backup equipments. This algorithm is proved to be accurate and effective, and can be used both in the initial orbit determination and in the spacecraft orbit optimization in operational phase.
Keywords:Spacecraft  Orbit determination  Measuring errors  Particle Swarm Optimization
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