摘要
为了满足三轴稳定静止气象卫星图像导航中姿态确定的高精度要求,提出了陀螺仪和星敏感器的组合定姿方案,并且设计了联合采用预测滤波和推广卡尔曼滤波的实时姿态估计算法。基于Matlab建立了姿态确定的时域模型。通过数字仿真验证了该算法具有高精度、收敛迅速和强鲁棒性。
To satisfy the high accuracy of attitude determination for three-axis stabilized geostationary meteorological sat- ellite image navigation,a new approach combined gyro with star sensors is proposed,and a real-time algorithm for aiti- tude estimation combined predictive filter and extended Kalman filter is designed.A Matlab-based time domain simula- tion model is developed to evaluate the attitude determination performance.Simulation results demonstrate that the pro- posed algorithm has characteristics of high accuracy,rapid convergence and strong robustness.
出处
《弹箭与制导学报》
CSCD
北大核心
2006年第S4期713-716,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
国家自然科学基金资助(10372080)
关键词
三轴稳定静止气象卫星
图像导航
姿态确定
预测滤波
推广卡尔曼滤波
three-axis stabilized geostationary meteorological satellite
image navigation
attitude determination
predictive filter
extended Kalman filter