中国惯性技术学报
中國慣性技術學報
중국관성기술학보
JOURNAL OF CHINESE INERTIAL TECHNOLOGY
2010年
1期
22-27
,共6页
姿态算法%旋转矢量%圆锥误差%参数解析法
姿態算法%鏇轉矢量%圓錐誤差%參數解析法
자태산법%선전시량%원추오차%삼수해석법
attitude algorithm%rotation vector%coning error%parameter analysis method
参数解析法是一种简单直观的旋转矢量算法系数优化方法,但在子样数为4的情况下,该方法却不能得到最优系数.对此,在采用参数解析法详细推导5子样算法的基础上,结合其他学者的研究成果分析了该方法的适用性.研究表明,参数解析法仅适用于子样数不大于3的旋转矢量算法系数优化.
參數解析法是一種簡單直觀的鏇轉矢量算法繫數優化方法,但在子樣數為4的情況下,該方法卻不能得到最優繫數.對此,在採用參數解析法詳細推導5子樣算法的基礎上,結閤其他學者的研究成果分析瞭該方法的適用性.研究錶明,參數解析法僅適用于子樣數不大于3的鏇轉矢量算法繫數優化.
삼수해석법시일충간단직관적선전시량산법계수우화방법,단재자양수위4적정황하,해방법각불능득도최우계수.대차,재채용삼수해석법상세추도5자양산법적기출상,결합기타학자적연구성과분석료해방법적괄용성.연구표명,삼수해석법부괄용우자양수불대우3적선전시량산법계수우화.
The parameter analysis method is simple and straight-forward for optimizing rotation vector attitude algorithms. However, when more than 3 samples are used in one rotation vector updating period, the algorithm can not obtain optimized attitude. In this paper, the applicability of the parameter analysis method are studied by combining the detailed derivation process of five-sample rotation vector algorithm with other scientists' research achievements. The study reveals that the current method is only applicable for the rotation vector attitude algorithms with 3 or less samples and may be applicable for all rotation vector algorithms if it is corrected moderately.