Probability Based Optimal Collision Avoidance Maneuvers
Probability Based Optimal Collision Avoidance Maneuvers
复制标题
基于概率的最佳防撞机动
作者：
B. Kelly;S. Picciotto
*†本文提出了一种新技术，用于在联合分析表明碰撞概率高于特定阈值时设计防撞机动。该技术利用航空航天公司设计的 NLP2 算法以数值方式设计最小 Delta-V 机动，以将碰撞概率降低到关注阈值以下，并可选择满足脱靶距离约束。此外，该算法可以单独或联合考虑连接对象协方差的不确定性，作为客观概率的一部分。该算法快速、稳健且高度可调。该技术已经原型化以供分析。还给出了有关算法和碰撞避免的实验结果和结论。
*† This paper presents a new technique to design a col lision avoidance maneuver when a conjunction analysis indicates that the probability of collision is above a certain threshold. This technique makes use of the Aerospace Corporation designed NLP2 algorithm to numerically design a minimal delta-V maneuver to reduce the probability of collision below the threshold of concern as well as optionally meet ing a miss distance constraint. In addition, the algorithm can consider uncertainties in the con juncting objects’ covariances, either individually or jointly, as part of the objective p robability. The algorithm is fast, robust, and highly tunable. This technique has been prototyped for analysis. Experimental results and conclusions about the algorithm and collision avoid ance in general are also given.