摘要
针对空中交通管制中的自由飞行方式,给出了一套轨迹优化算法,即动态规划法+共轭梯度算法、考虑风场的飞行器运动学方程等,算法根据即时的飞行任务(即应该通过的空域点)、天气情况(如风场)、威胁区信息(即不允许路过的区域)等,可以实时在线地规划出全局4-维最优飞行轨迹。轨迹优化的.性能指标是发动机燃料消耗量最小、或飞行时间最短、或路径(飞行路程)最短,或综合考虑各种性能指标等。该算法与软件包是基于Boeing-747飞机的数据作的设计与仿真测试。针对一些典型情况,给出了若干飞行轨迹优化的算例。该算法与软件包可用于有人驾驶的或无人自主控制的航空飞行器,如大型飞机等。
This paper studies dynamic programming on flight trajectory optimization for free flight in air traffic control(ATC) of aircraft.This algorithm incorporates the effects of flight missions(passing the way points),weather status data(wind and wind shear),region information.Based on this algorithm,the global 4-D optimal trajectories can be gotten in real time online for both manned aircraft and unmanned flight vehicles.The algorithm and software package were successfully applied on trajectory optimization(or path planning) system of a manned flight vehicle(Boeing 747).The paper also provides a lot of numerical simulation results for the Boeing 747 free flight.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2008年第S2期234-238,共5页
Journal of System Simulation
关键词
航空飞行器
空中交通管制
自由飞行
4-维轨迹全局优化
实时在线优化
飞行数值仿真
Flight vehicle,air traffic control,free flight,4-D trajectory global optimization,real time online algorithm,flight numerical simulation
