摘要
介绍了基于星敏感器的卫星姿态确定算法,包括静态确定性算法和动态状态估计方法。从理论上推导了静态算法的TRIAD方法、Euler-q方法、QUEST方法以及SVD和FORM方法;对比分析了几种常见的动态估计方法,它们是EKF方法、UKF方法、预测卡尔曼滤波;并讨论了一些最新的方法,例如粒子滤波等。最后进行了仿真分析,并给出了一些有用的结论。
The attitude determination algorithm based on star sensor was analyzed, including static algorithm and dynamic state estimation algorithm. The static methods to determine the attitude with TRIAD algorithm, Euler-q algorithm, QUEST algorithm, SVD and FORM algorithm were deduced theoretically. The research results of dynamic state estimation algorithm were introduced, which were EKF method, UKF method, predictive Kalman filtering and nonlinear predictive Kalman filtering. Some new algorithms for satellite attitude determination were discussed, such as particle filtering. Finally, they were compared and analyzed by simulation, and some conclusion was given.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2010年第A01期1-6,共6页
Journal of System Simulation
关键词
星敏感器
姿态确定
确定性方法
动态状态估计
卡尔曼滤波
star sensor
attitude determination
static method
dynamic state estimation
Kalman filter
作者简介
作者简介：宋亮亮（1984-），男，山东阳信人，硕士研究生，研究方向为星敏感器姿态确定算法。
