| 注册
首页|期刊导航|华南理工大学学报(自然科学版)|城市障碍物空间无人机进离场的结构设计

城市障碍物空间无人机进离场的结构设计

韩鹏 刘泓言 杨心月 罗锦发 赵嶷飞

华南理工大学学报(自然科学版)2026,Vol.54Issue(6):147-161,15.
华南理工大学学报(自然科学版)2026,Vol.54Issue(6):147-161,15.DOI:10.12141/j.issn.1000-565X.250271

城市障碍物空间无人机进离场的结构设计

Structural Design of UAV Approach and Departure Procedures in Urban Obstacle Environments

韩鹏 1刘泓言 1杨心月 2罗锦发 1赵嶷飞1

作者信息

  • 1. 中国民航大学 空中交通管理学院,天津 300300
  • 2. 深圳市城市交通规划设计研究中心股份有限公司,广东 深圳 518057
  • 折叠

摘要

Abstract

With the growing demand for unmanned aerial vehicle(UAV)operations in urban low-altitude airspace,the structure of vertiport approach and departure airspace will become a critical factor in capacity limitation and safe operations.To address the core bottleneck of high-density operations in future Urban Air Mobility(UAM),this research investigates an optimal design method for UAV approach and departure airspace structures at vertiports.A structured multi-layer funnel-shaped hybrid airspace model is constructed,and an airspace efficiency optimization function is designed.Genetic algorithms are employed to optimize the airspace parameters.The airspace optimization design was calculated within urban obstacle spaces.Through comparative analysis with six typical airspace configurations in terms of operational efficiency,and under different obstacle environments and UAV operational intervals,it is found that the designed airspace demonstrates significant balance in overall performance,while the design algorithm maintains stable effectiveness across various conditions.The results indicate that strategies relying simply on enlarging airspace dimensions to enhance capacity involve clear performance trade-offs.In contrast,a relatively compact funnel-shaped structure achieves coordinated optimization across multiple metrics by eliminating radial gradients and simplifying flight paths.The proposed genetic algorithm-based optimal design method for UAV approach and departure structures in urban obstacle spaces can effectively identify the optimal parameter combinations,ensuring the safety of UAV operations in urban environments and improving the operational efficiency of vertiport airspace.

关键词

城市空中交通/无人机/空域设计/遗传算法/垂直起降场

Key words

urban air mobility/unmanned aerial vehicle/airspace design/genetic algorithm/vertiport

分类

航空航天

引用本文复制引用

韩鹏,刘泓言,杨心月,罗锦发,赵嶷飞..城市障碍物空间无人机进离场的结构设计[J].华南理工大学学报(自然科学版),2026,54(6):147-161,15.

基金项目

国家自然科学基金项目(52572390) (52572390)

中国民航局民航安全能力建设项目(20230010)Supported by the National Natural Science Foundation of China(52572390) (20230010)

华南理工大学学报(自然科学版)

1000-565X

访问量0
|
下载量0
段落导航相关论文