{"title":"Flight conflict detection of large fixed-wing UAV in joint airspace","authors":"Xin Ma, Zixuan Li, Zhou Yang, Xikang Lu, Linxin Zheng","doi":"10.1177/09544054241256996","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":20663,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09544054241256996","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.