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针对恶劣天气影响多架航空器正常运行的问题,提出了多目标的多机改航路径规划方法。首先构建了基于网格的改航环境,考虑了天气的变化和航空器的运动,建立了转弯次数最少、航迹长度最短、所需空域最小的多目标优化模型,并采用改进遗传算法进行求解。以西安管制空域为实例,用实际数据验证了方法的有效性。结果表明:本文规划的多机改航路径,减少了航班总延误时间,保证了安全间隔且效率较高。
Aiming at the problem that bad weather affects the normal operation of many aircraft, a multi-target approach to route planning of multiple aircraft is proposed. Firstly, a grid-based navigation environment was constructed. Considering the changes of weather and the movement of the aircraft, a multi-objective optimization model with the smallest number of turns, the shortest track length and the minimum airspace required was established, and the improved GA was used to solve the problem. Taking Xi’an Controlled airspace as an example, the actual data are used to verify the effectiveness of the method. The results show that the route of multi-aircraft rerouting planned in this paper reduces the total flight delay time, ensures the safety interval and has higher efficiency.