卫星姿态测量信息的二阶非线性滤波技术研究

卫星应用任务要求卫星姿态在空间保持高精度定向，为此有必要研究精确的递推非线性姿态估计算法。文中针对星光-陀螺这种典型的三轴稳定卫星姿态确定系统模式，应用基于二阶泰勒级数近似得到的非线性滤波算法处理姿态测量信息，设计了二阶非线性姿态估计器的实现方案。在设计过程中，把QUEST法作为矢量观测数据压缩技术有效地结合进姿态估计器中，使得在多矢量观测情况下的滤波修正算法得到了简化。相同条件下的仿真测试结果证明，二阶非线性姿态估计器的滤波性能要优于采用扩展卡尔曼滤波技术的一阶线性姿态估计器。

Research on Second-Order Nonlinear Filter Technology for Processing Satellite Attitude Measurement Information

The stringent attitude orientation accuracy demanded by the satellite flight omission motivate the development of recursive nonlinear filters for precise attitude estimation. This paperpresents the second order attitude estimator for the typical stellar inertial attitude determination system using the nonlinear filter based on the second order Taylor series approximation. In addition , the QUEST algorithm is efficiently combined with the attitude estimator as the compressing technique of multi vector observation information in order to simplify the update implementation . Performance comparison by computer simulation under the same conditions demonstrates that the second order nonlinear attitude estimator consistently performs better than the first order linear attitude estimator using the extended Kalman filter technology.