基于最优REQUEST/CKF组合的航天器姿态确定  

Spacecraft Attitude Determination of REQUEST/CKF Integration

作　　者：肖支才[1] 李海君[1] 王朕[1] 

机构地区：[1]海军航空工程学院,山东烟台264001

出　　处：《弹箭与制导学报》2015年第6期1-4,8,共5页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：航空科学基金资助

摘　　要：针对航天器姿态确定的高精度要求,提出一种基于最优递推四元数估计/容积卡尔曼滤波(REQUEST/CKF)的姿态估计器。该方法将最优递归四元数估计(REQUEST)方法和容积卡尔曼滤波(CKF)结合起来,用最优REQUEST方法确定的姿态四元数直接作为CKF滤波器的观测量,由CKF滤波估计陀螺漂移来补偿系统模型误差,从而提高了姿态确定的精度和收敛速度。仿真结果说明了方法的有效性。According to high-precision requirement for spacecraft attitude determination, an integrated REQUEST/CKF attitude determina- tion method was proposed. This method combines different characteristics of vector observation attitude determination algorithm and CKF algorithm to achieve high-precision attitude determination. The algorithm combines REQUEST and CKF. The quaternion determined by REQUEST is directly used as CKF filter observations, and CKF filter estimates gyro drift so that it can compensate for model error. Simula- tion results show effectiveness of the method.

关 键 词：航天器姿态确定 惯性/天文组合 最优递归四元数估计 容积卡尔曼滤波 

分 类 号：V249.3[航空宇航科学与技术—飞行器设计]