联合空域中大型固定翼无人机的飞行冲突检测

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Xin Ma, Zixuan Li, Zhou Yang, Xikang Lu, Linxin Zheng
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引用次数: 0

摘要

为解决大型固定翼无人机与民航载人运输机的协同运行问题,将对大型固定翼无人机飞行数据进行面向空间维度的预处理,进一步完成数字孪生飞行数据的数学描述和特征梳理,分析国际民航组织(ICAO)推荐的飞行程序轨迹保护区和碰撞风险等系统误差,进而开发出应用于联合空域协同运行的飞行冲突检测方法,并得出一定的定量结论。根据仿真实验和计算结果,表明利用多元素复合策略(MCS)可以实现联合空域协同运行的飞行冲突评估,并根据评估结果结合飞行任务的实施环境,可以得出空域密度在国际民航组织规定的系统误差标准范围内的结论,从而完成协同运行安全风险的定量评估和联合空域规划方案的初步制定,为智慧物流的发展提供支撑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flight conflict detection of large fixed-wing UAV in joint airspace
To resolve the issue of cooperative operation between large fixed wing Unmanned Aerial Vehicle (UAV) and civil aviation manned transport aircraft, preprocessing of large fixed wing UAV flight data that oriented to spatial dimension will be carried out to further complete the mathematical description and sort out the characteristics of the flight data of the digital twins, analyze the track protection zone of flight program recommended by International Civil Aviation Organization (ICAO) and systematic errors such as collision risks, then develop a flight conflict detection method applied to cooperative operation in joint airspace and draw certain quantitative conclusion. According to the simulation experiments and calculation results, it is shown that the use of the multi-element composite strategy (MCS) can achieve the flight conflict assessment of the joint airspace cooperative operation, and according to the assessment results combined with the implementation environment of the flight mission, it can be concluded that the density of the airspace is within the range of the systematic error standard stipulated by the ICAO, so as to complete the quantitative assessment of the safety risk of the cooperative operation and the planning scheme of the joint airspace Preliminary formulation, to provide support for the development of intelligent logistics.
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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