基于kalman滤波的分布式航天器相对状态解算  

Relative State Estimation of Distributed Spacecrafts Based on Kalman Filter

作　　者：王淑云[1] 王元钦[1] 陈谷仓[1] 王天祥[1] 

机构地区：[1]装备指挥技术学院,北京101416

出　　处：《系统仿真学报》2006年第z2期923-925,928,共4页Journal of System Simulation

摘　　要：根据所提出的利用无线电和激光测量两航天器相对状态的测量方案,利用动力学法建立了关于待估参数即两航天器相对位置参数的动态状态方程,建立了测量方程,利用卡尔曼滤波法对相对位置进行解算,分析了克服滤波发散的方法,给出了具体仿真算例,通过对仿真结果的分析发现,提出的模型与解算方法可有效提高航天器间的定位精度。According to the project using wireless and laser methods to measure the relative state of two spacecrafts, measuring model was built. State model about relative position between two spacecrafts was built using dynamics. The relative position was calculated based on kalman filter. The methods were analyzed to overcome divergence of filtering. In the end, a simulation example was advanced. The simulation results show that the models and methods presented are effective to estimate the relative position.

关 键 词：相对状态 分布式航天器 数学模型 卡尔曼滤波 滤波精度 

分 类 号：V448[航空宇航科学与技术—飞行器设计] TP249[自动化与计算机技术—检测技术与自动化装置]