A multi-objective dynamic planning method for flight trajectories

Abstract

The invention discloses a multi-objective dynamic planning method of flight trajectory of a flight, which belongs to the field of air traffic management. This method first obtains the information of the route network structure, flight segment length, altitude configuration of each flight segment, flow control and other information in the available airspace of the flight, and then establishes the flight flight with the goals of the least fuel consumption, the shortest flight time, and the least number of altitude changes. The multi-objective dynamic programming model of the flight trajectory is then designed to solve the algorithm of the multi-objective dynamic programming model of the flight trajectory. The invention provides technical basis for air traffic control and air traffic flow management.

Description

technical field [0001] The invention belongs to the field of air traffic management, and in particular relates to a multi-objective dynamic planning method for flight trajectories which can be applied to air traffic control and air traffic flow management. Background technique [0002] Trajectory planning in air traffic management generally optimizes flight trajectories with certain goals according to airspace structure, aircraft performance, flight restrictions and other conditions. The main methods include trajectory planning based on airspace grids, trajectory planning based on restricted area geometry, and fixed Trajectory planning of waypoints, trajectory planning based on standard approach and departure procedures, trajectory planning based on free flight, etc. Most of the existing researches aim at shortening the voyage and flight time, reducing flight conflicts, etc., and less consideration is given to factors such as altitude changes and air waiting, and trajectory ...

AI Technical Summary

Problems solved by technology

[0003] Purpose of the invention: the technical problem to be solved by the present invention is: according to conditions such as the route network structure in the available airspace of the flight, the flight segment length, the level configuration of each flight segment, flow control and other information, the fuel consumption is the least and the flight time is the shortest. , The minimum number of altitude changes is the goal, establish a multi-objective dynamic programming model for the flight trajectory, reshape the route network structure in the available airspace of the flight according to the solution needs, design the solution algorithm for the multi-objective dynamic programming model of the flight trajectory, and realize a single trajectory The rapid generation of planning strategies can reasonably arrange flight routes and altitudes for flights, and provide auxiliary decision-making for scientifically formulating flight plans and improving flight diversion efficiency

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