北京航空航天大学学报 ›› 2011, Vol. 37 ›› Issue (2): 175-179,184.

• 论文 • 上一篇    下一篇

无人机全空域飞行影响因素分析

蔡志浩1, 杨丽曼2, 王英勋3, 李新军4   

  1. 1. 北京航空航天大学 无人驾驶飞行器设计研究所, 北京 100191;
    2. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191;
    3. 中国航空工业集团公司 重大项目管理部, 北京 100022;
    4. 中国航天科技集团 研究发展部, 北京 100048
  • 收稿日期:2010-07-15 出版日期:2011-02-28 发布日期:2011-03-05
  • 作者简介:蔡志浩(1979-),男,河南焦作人,讲师,caizhihao@buaa.edu.cn.
  • 基金资助:

    中央高校基本科研业务费专项资金(YWF-10-02-074)

Analysis for whole airspace flight key factors of unmanned aerial vehicles

Cai Zhihao1, Yang Liman2, Wang Yingxun3, Li Xinjun4   

  1. 1. Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    2. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    3. Department of Major Program Management, Aviation Industry Corporation of China, Beijing 100022, China;
    4. Department of Research and Develop, China Aerospace Science and Technology Corporation, Beijing 100048, China
  • Received:2010-07-15 Online:2011-02-28 Published:2011-03-05

摘要: 进入全空域飞行是未来无人机发展的必然趋势,所面临的关键问题是安全性和空中交通管理.根据无人机大、中、小型,低、中、高速并存的特点,分析了无人机安全性和影响其全空域飞行能力的关键因素与改进方法,包括建立分类管理机制,提高自主导航与控制能力,进行动态任务规划,采取协调机制,增强环境感知与规避能力等.进一步提出了无人机空域飞行的建模/仿真理论框架,目标是在提高无人机可靠性的基础上,使其具备全空域飞行能力,从而降低无人机使用成本、提高空域共享能力,实现有人机、无人机共享空域.

Abstract: Aiming at the problem of unmanned aerial Vehicles(UAVs) entering non-segregated airspace, UAVs-safety and the key factors of improving their airspace flight capacity were analyzed, according to the characteristics of large scale, medium scale, small scale and low speed, medium speed, high speed UAVs coexisting. The approaches include category management, autonomous navigation and control, dynamic mission planning, coordination mechanisms, sense and avoid, etc. Based on improving the UAVs-reliability, they would have the ability of air traffic management in whole airspace. Modeling and simulation are effective method to validate these approaches. The final target is reducing the cost of UAVs, improving the ability to share more airspace and achieving the goal of manned and unmanned air vehicles flying together.

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