超平面滤波算法在卫星姿态确定中的应用

Applications of Super-Plane Filtering Scheme in Satellite Attitude Determination System

基于状态估计法的陀螺仪/星敏感器组合卫星姿态测量系统,采用传统卡尔曼滤波算法进行状态估计。但由于卡尔曼滤波算法存在较大误差,因此提出采用超平面调整卡尔曼滤波器的方法提高估计精度。通过仿真证明,该方案既能抑制滤波发散,又能提高卫星姿态确定系统估计精度。

A new approach is proposed, which combines the star - sensors with gyro in the article. The attitude is estimated by extended Kalman Filter, and the quaternion algorithm is used to replace the traditional Euler method as computing method to avoid the error in result of non- linearity and small angle. The simulation demonstrates that this approach is feasible.