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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 path planning using artificial immune algorithm. Artificial immune algorithm according to the different ways of vaccination is divided into three kinds of situations: randomly selected chromosomes for inoculation; all chromosomes inoculated one by one; each chromosome was inoculated but the location of vaccination is random. According to these three kinds of situations respectively, the flight path is simulated, and the trajectory of its planning is compared and analyzed. At the same time, the uncertainty of the threat was simulated. Finally, according to the maneuverability and airworthiness of the aircraft, the planned flight path is optimized. The simulation results show that the artificial immune algorithm is feasible in the application of planning three-dimensional trajectory, and it has a great advantage in terms of time.