确定无陀螺卫星姿态的二阶非线性滤波算法研究

应用基于二阶泰勒级数近似得到的非线性滤波技术，设计了利用星敏感器矢量观测信息确定无陀螺三轴稳定卫星姿态的二阶非线性滤波算法，结合矢量观测的特点，分别讨论了单矢量观测信息与多矢量观测信息的处理方法，并把QUEST算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，使得多矢量观测情况下的滤波修正算法得到了简化，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的扩展卡尔曼滤波姿态估计算法。

RESEARCH ON SECOND-ORDER NONLINEAR FILTER ALGORITHM FOR GYROLESS SATELLITE ATTITUDE DETERMINATION USING STAR SENSORS

A second-order nonlinear filter which can estimate the attitude of a three-axis stabilized gyroless satellite from star sensor vector observations is developed using the nonlinear filter technigue based on second-order Taylor series approximation. Considering the characteristics of vector observation, the methods to dispose vector observation information in the case of one vector and multi-vector are discussed separately. In addition, the QUEST algorithm is efficiently combined into the attitude estimator as the compressing technique of multi-vector observation information in order to simplify the update implementation. Performance comparison made by computer simulation demonstrates that the second-order nonlinear attitude estimator consistently performs better than the traditional extended Kalman attitude estimator.