基于受损飞机插队情况的进场优化排序

Research on optimal approach sequencing based on jumping the queue of damaged aircraft

针对受损飞机插队导致机场原进场计划被扰乱的情况开展了研究。首先,建立飞机进场优化排序模型,确保整体飞机进场计划顺畅进行。然后,以最小化总延误时间为目标函数,为受损飞机赋予更高优先级,提出了基于自适应行为和差分进化策略的改进狼群算法进行求解。最后,进行了仿真验证。仿真结果表明,与其他算法相比,改进狼群算法不仅降低了总延误时间,还减少了延误飞机架次,可有效提高作战飞机返航的安全性。算法的时效性也得到了大幅提高,可在战时为管制员的应急决策提供强有力的保障。

A study was conducted on the disruption of the airport’s original entry plan due to the insertion of damaged aircraft. Firstly, an optimization sorting model of aircraft arrival is established to ensure the smooth progress of the overall aircraft arrival plan. Then, the minimize total delay time is used as the objective function to give a higher priority to the damaged aircraft. An improved wolf pack algorithm(IWPA)based on adaptive behavior and differential evolution strategy is proposed to solve this problem. Finally, a simulation was verified. The simulation results show that, compared with other algorithms, the improved wolf pack algorithm not only reduces the total delay time, but also reduces the number of delayed aircraft sorties, which can effectively improve the safety of the return of combat aircraft. The timeliness of the algorithm has also been greatly improved, which can provide a strong guarantee for the controller’s emergency decision-making in wartime.