基于星敏感器双矢量观测信息的卫星姿态确定算法研究

摘要

Presented and probed into algorithms from two vector observation based on star sensor, QUEST algorithm and algorithms using Extended Kalman Filter ( EKF) with gyros measurements, were derived respectively. And higher accuracy of filtering algorithm using star sensor and gyros comparing with the QUEST algorithms through simulation test is validated.%针对三轴稳定卫星,研究基于星敏感器双矢量观测信息的卫星高精度姿态确定算法.建立了姿态运动学模型、敏感器测量模型、QUEST算法模型和扩展卡尔曼滤波(EKF)模型.对比分析了QUEST算法以及星敏感器与陀螺组合的扩展卡尔曼滤波(EKF)算法的定姿精度.通过数学仿真,表明基于星敏感器和陀螺的扩展卡尔曼滤波组合姿态确定算法具有更高的定姿精度.