基于高空风修正的四维航迹优化算法

航迹预测是基于航空器航迹运行的核心技术,也是空中交通流量管理的基础技术。结合航空器飞行速度数据与航段飞行时间数据,分析高空风对航空器飞行时间的影响。基于GRIB2格式风数据,建立高空风修正模型,提出一种四维航迹优化算法进行航迹预测。利用中南区域实际航班飞行数据进行算例仿真,并与实际雷达飞行数据进行对比。对比结果表明,预测飞行时间总误差分别减少了7%和16.4%,从而验证了模型的有效性与正确性。

Optimization Algorithm of 4 D Trajectory Based on High-altitude Wind Correction

Trajectory prediction is the key technology of trajectory-based operation and the basis of air traffic flow control .With aircraft flight speed data and flight time data ,we analyze the impact of high-alti-tude wind on aircraft flying time .Trough analyzing the wind data in GRIB 2 format ,we establish high-alti-tude wind correction model and propose a 4D trajectory optimization algorithm to predict 4D trajectory.Fi-nally,with actual flights data from south region ,the method is verified .Test results show that the method can be used to reduce 7%and 16.4%fly time errors,compared with radar data .The results demonstrate the effectiveness and accuracy of the model .