最优递归线性姿态估计算法  

Recursive Optimal Linear Attitude Estimator

作　　者：傅泽宁[1] 邵晓巍[1] 龚德仁[1] 段登平[1] 

机构地区：[1]上海交通大学航空航天学院,上海200240

出　　处：《测控技术》2012年第6期29-33,共5页Measurement & Control Technology

基　　金：国家"863计划"资助项目(2010AA7050102)

摘　　要：最优线性姿态估计算法以罗格里斯参数作为姿态描述,具有计算量小、精度高等优点。但它是一种基于单点信息的估计算法。提出一种递归思想,整合当前时刻以及历史时刻的多点测量信息,根据最优判定函数建立不同时间节点上测量数据间的数学模型关系,对单点算法中的关键元素M和z进行迭代设计,并由此推导出一种新的递归姿态估计算法。仿真结果表明,最优递归线性姿态估计算法在航天器稳定慢速机动的情况下,解算精度要显著优于单点的最优线性姿态估计算法。Optimal linear attitude estimator（OLAE） is a fast algorithm the minimum-element attitude parameterization. However, OLAE is a based on Rodrigues vector which uses single time point batch algorithm for spacecraft attitude. A recursive algorithm is presented, which considers all the past time measurements. The measured vectors taken at the previous time are linked up with the ones taken at the current time. This algo- rithm is based on the so-call z vector and M, which is the crucial element of the OLAE algorithm and the cur- rent data processing based on the OLAE algorithm. The attitude simulation tests show that this algorithm pro- vides better precision than the OLAE does when the angular velocity of the spacecraft is constant and slow.

关 键 词：最优线性姿态估计算法 递归算法 多点测量信息 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]