北京航空航天大学学报 ›› 2016, Vol. 42 ›› Issue (6): 1126-1133.doi: 10.13700/j.bh.1001-5965.2015.0450

• 论文 • 上一篇    下一篇

复杂多约束条件通航飞行垂直剖面规划方法

王晓亮, 马亚冰, 王鹏, 吴仁彪   

  1. 中国民航大学 天津市智能信号与图像处理重点实验室, 天津 300300
  • 收稿日期:2015-07-06 出版日期:2016-06-20 发布日期:2016-07-06
  • 通讯作者: 王晓亮,Tel.:022-24092826 E-mail:wxl_ee@126.com E-mail:wxl_ee@126.com
  • 作者简介:王晓亮 男,博士,讲师。主要研究方向:雷达信号处理、图像处理与识别。Tel.:022-24092826 E-mail:wxl_ee@126.com
  • 基金资助:
    国家自然科学基金(11402294);中央高校基本科研业务费中国民航大学专项资金(3122015D004)

Vertical profile planning method for general aviation flight in complex multi-constraints conditions

WANG Xiaoliang, MA Yabing, WANG Peng, WU Renbiao   

  1. Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
  • Received:2015-07-06 Online:2016-06-20 Published:2016-07-06

摘要: 为了解决复杂多约束条件下通航飞行器垂直剖面航迹规划问题,提出了一种基于改进A*算法的剖面规划方法。首先结合通航低空飞行特点,对涉及的飞行任务、地形信息和飞行器性能参数等多种约束条件进行建模;其次构建垂直剖面规划空间,采用目标加权函数来建立航迹代价模型;最终通过改进A*算法生成满足复杂多约束条件的垂直剖面规划航迹。实验分析表明:在相同实验条件下,改进A*算法在解决复杂多约束条件下通航飞行器垂直剖面航迹规划问题方面优于传统路径规划方法。

关键词: 通航, 航迹规划, 改进A*算法, 垂直剖面, 代价函数

Abstract: A method for trajectory planning based on improved A-star algorithm is presented, which can be used for solving the problem of vertical profile trajectory planning for general aviation aircraft in complex multi-constraints conditions. Firstly, according to the characteristic of low altitude flight for general aviation, a mathematical model is established considering multi-constraints conditions, such as flight mission, terrain information and aircraft performance parameters. Secondly, vertical profile trajectory planning space is constructed, and trajectory cost model is established with a weighted objective function. Finally, the vertical profile planning trajectory is generated through improved A-star algorithm, which can be utilized to satisfy the complex multi-constraints conditions. Experimental results indicate that the improved A-star algorithm has much better performance compared with traditional route planning algorithm and the proposed improved A-star algorithm could solve the vertical profile trajectory planning for general aviation in complex multi-constraints conditions successfully.

Key words: general aviation, trajectory planning, improved A-star algorithm, vertical profile, cost function

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