基于路径检测的航空器动态滑行路径优化模型

Optimization Model of Aircraft Dynamic Taxiing Path Based on Detection of Path

为了优化航空器在场面的滑行路径,提出基于路径检测的航空器动态滑行路径优化模型,使航空器在安全的前提下滑行总时间最短。首先明确包括冲突检测和拥堵检测的路径检测方法,然后将航班波滑行总时间最短作为目标,结合路径检测的约束建立多航空器滑行路径优化模型。采用蚁群算法求解,并针对优化模型将蚁群算法进行改进,采用双向搜索和引入奖惩因子,以提高全局搜索能力。算例分析中选取某机场滑行系统,对其某段时间内的真实航班波进行仿真,经验证:采用优化模型可以有效缩短航班波滑行总时间,滑行道的使用情况较为合理。

In order to optimize the taxiing path of the aircraft,an optimization model of the aircraft dynamic taxiing path based on detection of path is proposed to make the total taxiing time of the aircraft on the premise of safety the shortest.First,the path detection method was clarified,including conflict detection and congestion detection.Then,the shortest total taxiing time was taken as the goal,and the multi-aircraft taxiing path optimization model was established by combining the constraints of path detection.The ant colony algorithm was used to solve the problem,and the ant colony algorithm was improved according to the optimization model.The improved head and tail search mechanism and punishment factors were used to improve and accelerate the global search ability.In the analysis of the calculation example,an airport taxi system was selected,and the simulation experiment was carried out on the real flight within a certain period of time.It has been verified that the optimization model can effectively shorten the total taxi time of the flight,and the taxiway usage is more reasonable.