基于能观度分析的信息融合自主导航算法  

Observability-Based Information Fusion Autonomous Navigation Algorithm

作　　者：乔国栋[1] 倪茂林[1] 李铁寿[1] 

机构地区：[1]中国空间技术研究院502所空间智能控制技术国家级重点实验室,北京100080

出　　处：《宇航学报》2008年第3期883-888,共6页Journal of Astronautics

基　　金：国家自然科学基金(90405017;60774002)

摘　　要：基于能观度分析,提出一种地月转移轨道的自主导航算法。以成像敏感器提供的地心方向和月心方向作为两种观测量,该算法将转移轨道分为若干段,计算每段轨道内两种量测模型对应的能观度。根据计算结果,利用模糊逻辑系统和信息融合技术产生每段轨道的优化量测模型,进而通过扩展卡尔曼滤波算法确定探测器轨道。文中给出的月球探测仿真算例,验证了所提导航算法的有效性。On the basis of the observability analysis, an autonomous navigation algorithm in the earth-lunar transfer orbit is proposed in the paper. The outputs of ultraviolet sensors, including the earth centric direction and the selenocentric direction, are used as observations. First, the transfer-orbit is divided into some segments. In each segment, observability is calculated for the above two kinds of measurement models, respectively. Then, according to the results, the fuzzy logic system and the information fusion technology are used to optimize measurement model in transfer-orbit. The extended kalman filtering algorithm is further used to determinate probe orbit. Simulations for a lunar probe example demonstrate the effectiveness of the proposed autonomous navigation algorithm.

关 键 词：自主导航 信息融合 能观度理论 转移轨道 

分 类 号：V249.31[航空宇航科学与技术—飞行器设计]