基于多重UKF的粗太阳敏感器标定算法研究

Research on Calibration Algorithm of Coarse Sun Sensor Based on Multiple UKF

针对粗太阳敏感器存在的非余弦特性以及易受空间环境杂光干扰的影响,为了提高粗太阳敏感器的定姿精度,需对其电池片进行标定.通过设计多重UKF(Unscented Kalman Filter)滤波器实现对粗太阳敏感器的定姿标定,将其划分为两类,第一类为标定陀螺漂移,第二类借助陀螺漂移标定结果,进而设计电池片滤波器来精确修正粗太阳敏感器的电池片系数,完成对整个粗太敏电池片的输出数据修正.仿真结果表明,采用多重UKF滤波器算法可有效实现对陀螺和粗太阳敏感器的标定,提高了卫星的姿态确定精度,达到了设计要求.

For disturbance of scatter light and the low precision problems of coarse sun sensor (CSS),to improve the precision of attitude determination,it necessary to calibrate the coefficient of battery piece of CSS. A multi-UKF (Unscented Kalman Filter) method is applied to calibrate the CSS battery piece. The multi-UKF is divided into two parts,one is adopted to calibrate the gyro drift,the others is modified the battery piece coefficients for calibrating the CSS by the result of gyro drift. Then the result can give a better attitude determination. The simulation results show that the multi-UKF method can calibrate the gyro drift and coefficient of CSS,and improve the precision of attitude determination.