| 注册
首页|期刊导航|交通信息与安全|连续下降进近(CDA)航迹的 Gauss 伪谱优化方法

连续下降进近(CDA)航迹的 Gauss 伪谱优化方法

宫峰勋 苑克剑 马艳秋

交通信息与安全2016,Vol.34Issue(4):15-21,7.
交通信息与安全2016,Vol.34Issue(4):15-21,7.DOI:10.3963/j.issn1674-4861.2016.04.003

连续下降进近(CDA)航迹的 Gauss 伪谱优化方法

Trajectory Optimization of Continuous Descent Approach (CDA)by a Gauss Pseudospectral Method

宫峰勋 1苑克剑 1马艳秋1

作者信息

  • 1. 中国民航大学电子信息与自动化学院 天津 300300
  • 折叠

摘要

Abstract

Aiming at optimizing trajectory problems of linear continuous descent approach (CDA)of the aircrafts with a constant gliding angle,a Bolza optimal control problem (OCP)is converted into a nonlinear programming problem by the Gauss pseudospectral method under different flap states of aircrafts,resulting in an optimized time of CDA trajec-tories.A dynamic model of CDA is established,where state variables of flight position and control variables of trajectory angle are determined,and performance measure of minimizing landing time is proposed.B737-800 aircrafts are selected for a case study.GPOPS algorithm is used to optimize trajectory via the Gauss pseudospectral method,within the landing areas and flying areas and the position of top of descent (TOD)and the curve of speed control are determined.Compared with other algorithms for computing CDA trajectory,the Gauss pseudospectral method has several advantages.This stud-y analyzes the approaching state of 1 7 CDA trajectories and 1 traditional trajectory in landing areas.The results show that compared with traditional stepped approaching trajectory,the landing time of CDA trajectory computed by Gauss pseudospectral method decreases by 1 6.67%.Simulation results verified that the CDA trajectory optimized by Gauss pseudospectral method can reduce landing time and improve accuracy of track forecast and efficiency of flight control sys-tems.

关键词

航空运输/时间优化/高斯伪谱法/连续下降进近/进近航迹

Key words

air transport/time optimization/Gauss pseudospectral method/continuous descent approach (CDA)/approaching trajectory

分类

交通工程

引用本文复制引用

宫峰勋,苑克剑,马艳秋..连续下降进近(CDA)航迹的 Gauss 伪谱优化方法[J].交通信息与安全,2016,34(4):15-21,7.

基金项目

国家自然科学基金资助项目(U1233112,61079008)、天津市应用基础及前沿技术研究计划(重点项目)(11JC2DJC25200)、中央高校科研业务费项目(3122014P001)资助 (U1233112,61079008)

交通信息与安全

OACSCDCSTPCD

1674-4861

访问量0
|
下载量0
段落导航相关论文