摘要
Kalman滤波是一组用递推关系给出的动态 测量系统状态向量的最优线性无偏滤波 ,它在航天测控领域中有广泛应用。以自旋稳定型卫星姿态确定为研究对象 ,探讨Kalman滤波算法的实现途径 ,并对Kalman滤波算法本身进行适当改进 ,建立一组对测量数据野值点具有容错能力的修正型滤波算法 ;此外 。
The Kalman filter is an unbiased and linear filter of s tate vectors of the dynamical measurement system, which has simple recursive al gorithms and widely usage in the field of spacecraft control. Much attention is paid to practical approaches and some detailed cases of Kalman filter, and a new kind of fault tolerant filtering algorithm is built to estimate the attitude p arameters of the spin stabilized satellite and the system errors of measurement data. The strating values of recursive filters and estimators of covariance of errors are deduced and some valuable suggestions are given.
出处
《中国空间科学技术》
EI
CSCD
北大核心
2003年第1期66-71,共6页
Chinese Space Science and Technology
基金
面向 2 1世纪教育振兴行动计划项目 (YL1 31 8)
中国博士后科学基金 (2 0 0 2 0 31 2 36)资助
关键词
自旋稳定卫星
姿态参数
卡尔曼滤波
容错技术
Spin stabilized satellite Attitude parameter Kalman filtering Fault tolerant technique