Optimal Flight Path Planning of Cruising Phase with No-Fly Zone Constraints Based on Dynamic Programming Algorithm

Author:

Wang Su Xiao1,Yang Yong Sheng1,Jing Zhong Liang1

Affiliation:

1. Shanghai Jiao Tong University

Abstract

The purpose of flight path planning is to find the optimal path from the real-time and conflict-free airspace to meet the targets, according to one or several performance index. Effective avoiding the no-fly zones, such as the areas of martial movement and the areas of rain and thunderstorm, has great significance to the current flight management system (FMS) that is real-time and effective implementation of the flight plan. The dynamic optimization method of level route based on DP (Dynamic Programming) algorithm without no-fly zone constraints is discussed. Quick and effective to find out an optimal path from the waypoints of arbitrary selection and input can be realized. On this basis, the situation of adding no-fly zone constraints is focused on. In order to ensure that the aircraft is able to effectively avoid no-fly zone constraints in actual flight, Gauss Kruger projection method to convert geographic coordinates to plane coordinates is adopted. Simulation results show that the method used can not only effectively avoid no-fly zone constraints, and the path passed is still optimal.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference21 articles.

1. Du Ping and Yang Chun, Introduction of Air Vehicle Path Planning Algorithms, Flight dynamics, Vol. 23 No. 2, June (2005).

2. Igor Alonso-Portillo and Ella M. Atkins. Adaptive Trajectory Planning for Flight Management Systems, AAAI Technical Report SS-01-06.

3. Luo Jia, Flight Management Systems: Optimization and Generation of Flight Trajectories, Beijing University of Aeronautics and Astronautics, (1988).

4. Wang Yingxun and Chen Zongji, Genetic Algorithms (GA) Based Flight Path Planning with Constraints, Journal of Beijing University of Aeronautics and Astronautics, Vol. 25 No. 13, June (1999).

5. Hu Xiaobing, Wu Shufan, and Jiang Ju, On-Line Optimization of Fli ght Line Based on GA. Aeronautical Computer Technique,. Vol. 31 No. 2, June (2001).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3