对接靠拢段的一种相对导航算法研究

自主相对导航技术是空间交会对接靠拢段的关键技术之一。Unscented卡尔曼滤波(UKF)是基于Unscented Transform(UT)变换的一种新型滤波器,它避免了扩展卡尔曼滤波(EKF)的线性化误差,不必计算Jacobian矩阵,而且其状态估计精度要比EKF的高。本文研究了基于UKF滤波器的自主相对导航算法。该算法根据追踪航天器上交会雷达的测量值,采用UKF滤波器对追踪航天器和目标航天器之间的相对位置和速度进行了估计,仿真结果表明该算法可以满足位置和速度估计精度的要求。

A Relative Guidance Algorithm for Proximity of Docking

Autonomous relative guidance is one of the key technologies in proximity process of space docking.Unscented Kalman Filter(UKF) is one of the new style filters based on unscented transform(UT).It avoids linearization error and calculation of Jacobian matrix which Extended Kalman Filter EKF has to face.And its state estimation accuracy is higher than that of EKF.This paper focuses on the autonomous relative guidance algorithm based on the UKF in the process of proximity.According to the measurements of rendezvous radar,this guidance algorithm uses UKF to estimate the relative position and velocity between the chaser and the target spacecraft.The simulation results show that this algorithm can meet the requirement of the estimate accuracy of position and velocity.Subject terms Proximity docking Autonomous relative guidance Kalman filtering