Research On Optimization Of Real Time Flight Path For Avoiding Hazardous Weather

Since the 1980 s,China’s civil aviation industry has developed rapidly and the conflict between limited airspace resources and an increasingly dense route network has become increasingly acute.The impact of dangerous weather conditions can easily lead to missed or cancelled flights,which brings serious economic losses to the air transport industry.Flight path rerouting planning is one of the main ways to reduce missed or cancelled flights,and an efficient trajectory optimization strategy can make full use of airspace resources and ensure flight safety.Therefore,this thesis will provide an in-depth study of the flight path real time rerouting optimization method.Firstly,the thesis plans the rerouting airspace planning and mainly adopts two rerouting airspace planning methods.(1)Dynamic risk map.Using the results of airborne weather radar,a regularly updated dynamic risk map is established.(2)Hierarchical planning of rerouting airspace.The rerouting voyage is divided into two parts.The first half and the second half of the rerouting range are divided into real-time planning and predictive planning,and the flight level is divided.The hierarchical planning model of rerouting airspace is established.Secondly,to address the need for real-time rerouting planning of 2D trajectories under airborne weather radar platforms,a dynamic re-routing planning strategy incorporating dynamic risk maps and an improved A* algorithm is proposed in conjunction with the dynamic risk map established in Chapter 2.Firstly,the cost function of the algorithm is designed by considering the voyage,track deviation,risk avoidance,ATC(Air Traffic Control)constraints,and so on.Then,the search method of the A* algorithm is improved,and the planned trajectory is smoothed and optimized.Finally,the simulations are implemented to experiment two different avoidance fly-around strategies,which are conservative and non-conservative strategies.The experimental results show that the trajectories planned by the proposed method can safely and effectively avoid hazardous weather,and provide a variety of flight avoidance strategies for pilots.Finally,to address the need for real-time rerouting planning of 3D trajectories accompanied by multiple hazardous meteorological conditions simultaneously in thunderstorms,a hierarchical trajectory dynamic planning strategy considering multiple hazardous meteorological conditions is proposed in conjunction with the airspace hierarchical planning model established in Chapter 2.First of all,the sparse A* algorithm is used for projecting the global trajectory based on the rerouting starting point and rerouting ending point,and the key point selection strategy is used to determine the global key point.Then,the global trajectory is segmented according to the identified key trajectory points,and the dynamic window method is used to plan the real-time trajectory dynamics segment by segment.The experimental is given to show the excellent performance of real-time flight path dynamic planning of the proposed method,which can provide a reference for the pilot about the change of aircraft speed and course in the process of avoiding dangerous weather.