利用人工免疫算法规划三维飞行航迹

Three-Dimensional Flight Path Planning Based on Artificial Immune Algorithm

利用人工免疫算法来规划的三维飞行航迹。人工免疫算法根据接种方式的不同分为3种情况:随机选择染色体进行接种;所有染色体挨个接种;每个染色体都接种但接种位置是随机的。分别按这3种情况对飞行航迹进行仿真,并对其规划出的航迹进行对比分析。同时,针对威胁的不确定性进行了仿真。最后根据飞机的机动性和适航性对上述规划出的航迹进行了优化。仿真结果表明,人工免疫算法在寻求规划三维航迹的应用中是可行的,而且在时间上还有很大的优势。

Three dimensional flight planning was studied by using artificial immune algorithm.The artificial immune algorithm can be divided into three cases according to its inoculation mode： to inoculate the randomly selected chromosomes,to inoculate all the chromosomes one by one,and to inoculate all the chromosomes at random location.The flight path simulation was carried according to the three cases,and the generated trajectories were analyzed.At the same time,simulations were also made considering the uncertainty of threats.At last,the flight paths were optimized in terms of the aircraft＇s mobility and airworthiness.The simulation results show that artificial immune algorithm is feasible for search of three dimensional tracks,and it also has a great advantage in aspect of time.