中国空间科学技术

• •    

自旋稳定卫星姿态参数的容错Kalman滤波

胡绍林,黄刘生   

  1. 中国科学技术大学,中国科学技术大学 合肥230027 ,合肥230027
  • 发布日期:2003-02-25

Fault-Tolerant Kalman Filter for Attitude Parameters of the Spin Stabilized Satellite

Hu Shaolin Huang Liusheng (University of Science & Technology of China, Hefei 230027)   

  • Published:2003-02-25
  • Supported by:
    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

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 ,还对滤波初值选取和测量数据误差协方差阵的估计等技术给出了有价值的建议

关键词: 自旋稳定卫星, 姿态参数, 卡尔曼滤波

Abstract: 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.