摘要
针对无陀螺卫星的姿态和角速度估计问题,提出了基于UKF(Unscent-ed Kalman Filtering)的无陀螺的姿态确定算法。采用星敏感器作为姿态敏感器,构造了基于罗德里格参数的UKF滤波器。与EKF相比,UKF不必计算Jacoabian矩阵而且能够至少精确到泰勒展开的二阶。通过EKF和UKF仿真结果的比较,表明UKF比EKF具有更快的收敛速度和更高的精度。
gThe gyroless attitude determination algorithm based on unscented Kalman filtering （ UKF ） is presented to solve the attitude and rate estimation problems for gyroless satellite. The star sensor serves as the attitude sensor. Unscented Kalman filter based on the Rodriguez parameters is presented. Compared to the EKF, UKF need not to calculate the Jacoabian matrix, but could achieve at least second-order accuracy. Comparison of simulation results of both UKF and EKF indicates that UKF has faster convergence speed and higher accuracy.
出处
《航天控制》
CSCD
北大核心
2007年第4期31-35,共5页
Aerospace Control
关键词
无陀螺姿态确定
UKF滤波
罗德里格参数
星敏感器
Gyroless attitude determination
Unscented Kalman filtering
Rodrigues parameters
Star sensor
