多敏感器信息融合技术在卫星姿态确定中的应用

Application of Multi-sensor Information Fusion in Satellite Attitude Determination System

针对惯性陀螺、星敏感器和红外地平仪组成的卫星姿态确定系统,基于联邦卡尔曼滤波技术和多敏感器信息融合技术,提出了二级分散滤波方案,该方案能够实现系统的故障诊断与系统重构,提高系统的可靠性,最后通过仿真解算出高精度的姿态测量信息。

Based on the multi-sensor information fusion theory and federal Kalman filter, a two-stage separate filtering scheme for the satellite attitude determination system composed of gyroscopes, infrared earth sensors and star sensors is presented. The scheme can fully utilize information provided by sensors to improve accuracy and reliability, at the same time it can achieve high fault-tolerant and adaptive ability by means of fault detection and reconfiguration. Finally, simulation results show that it can realize high attitude determination accuracy.