基于改进人工势场法的危险天气下路径改航

Rerouting in severe weather based on improved artificial potential field method

航空器在飞行过程中易受危险天气的影响,造成财产损失,威胁人员生命安全。为保障飞行安全,需对航空器实施改航,以避开航路中的危险天气。本文首先对航空器飞行过程中改航问题进行研究,以最短改航路径为目标,综合考虑多种航空器性能及飞行安全约束构建改航路径规划模型,提出基于改进人工势场法的改航路径规划算法。其次,为解决传统人工势场法中目标点不可达问题,将传统斥力势场函数进行改进,同时融合模拟退火算法,解决局部极小值问题。最后,对该算法进行仿真分析,实验结果表明,相比传统人工势场法改航路径减少了18.52%。该算法可为空管部门对危险天气下的航空器改航提供理论参考。

Aircraft are susceptible to the impact of severe weather during the flight,which will cause property damage and pose a threat to the safety of the life of personnel.For flight safety,the aircraft needs to be rerouted to avoid severe weather in the route.Therefore,this paper studies the problem of aircraft rerouting,combining with the constraints of various aircraft performance and flight safety,a rerouting planning model with the shortest rerouting path as the goal is established.A rerouting path planning algorithm based on improved artificial potential field method is proposed.Secondly,in order to prevent the problem of unreachable target point in traditional artificial potential field method,the repulsion function is improved,and the simulated annealing algorithm is merged to solve the local minimum problem.Finally,through the simulation of the algorithm,the rerouting path is reduced by 18.52%compared with the traditional method.This algorithm can provide a theoretical reference for the air traffic control department to divert aircraft under severe weather.