最优递归线性姿态估计算法

Recursive Optimal Linear Attitude Estimator

中文关键词:  最优线性姿态估计算法  递归算法  多点测量信息

英文关键词:optimal linear attitude estimator  recursive algorithm  muti-point measurement information

中文摘要:

      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。

英文摘要:

      Optimal linear attitude estimator(OLAE) is a fast algorithm based on Rodrigues vector which uses the minimum-element attitude parameterization.However,OLAE is a 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 algorithm is based on the so-call zvector and M,which is the crucial element of the OLAE algorithm and the current data processing based on the OLAE algorithm.The attitude simulation tests show that this algorithm provides better precision than the OLAE does when the angular velocity of the spacecraft is constant and slow.