摘要
针对航天器姿态确定问题提出了一种新的递归线性估计算法。首先采用罗格里斯参数描述姿态,介绍了基于几何方法得到的非递归线性姿态估计算法。其次,引入历史测量数据,根据姿态旋转关系,获得了递归线性估计算法。进一步引入遗忘因子,对历史测量数据和当前测量数据进行权衡,得到了加权递归线性估计算法。数值仿真结果表明,所提出的递归姿态估计算法比非递归姿态估计算法具有更高的精度,在一定范围内遗忘因子越小,姿态估计精度越高。
A new recursive algorithm of linear attitude estimator is proposed for spacecraft attitude determination. Firstly, the Rodriguez parameters are adopted for attitude representation, and a linear attitude estimator is obtained via the geometric analysis. Secondly, the recursive algorithm is achieved due to the purpose of improving attitude precision by using all past measurements. Furthermore, the memory fading concept is introduced to yield weighted recursive algorithm. The numerical simulations show that the proposed recursive algorithm has higher precision over an order magnitude than that of Quternion Estimator （QUEST） or Optimal Linear Attitude Estimator（ OLAE ） algorithm.
出处
《航天控制》
CSCD
北大核心
2012年第4期37-41,48,共6页
Aerospace Control
关键词
几何分析
姿态线性估计
遗忘因子
递归姿态线性估计
Geometric analysis
Linear attitude estimate
Memory fading factor
Recursive algorithm
