{"title":"Research on flight conflict prediction method for non-cooperative large unmanned aerial vehicles","authors":"Gao Yang, Wu Wentao, J. Xiaoshan, XU Minghe","doi":"10.16265/J.CNKI.ISSN1003-3033.2020.04.013","DOIUrl":null,"url":null,"abstract":"In order to reduce risk of collision between non ̄cooperative large UAVsꎬ firstlyꎬ in light of analysis on their operation modeꎬ predication mechanism and procedure of flight conflict based on UAVs operation and management platform were proposed. Secondlyꎬ a conflict prediction model building on UAVs flight state data was proposedꎬ which predicted conflicts in both horizontal and vertical directions and determined whether there would be a conflict. And then warning threshold was analyzed to prevent too late reception of alarm information by UAVs ground station. Finallyꎬ real ̄time flight status data of 3 UAVs were used to analyze and verify the model. The results show that the proposed mechanism and program can realize prediction and early warning between non ̄cooperative large UAVsꎬ and the prediction model can accurately determine whether there is a flight conflict as well as calculate when it will happen.","PeriodicalId":9976,"journal":{"name":"中国安全科学学报","volume":"11 1","pages":"80"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国安全科学学报","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.16265/J.CNKI.ISSN1003-3033.2020.04.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to reduce risk of collision between non ̄cooperative large UAVsꎬ firstlyꎬ in light of analysis on their operation modeꎬ predication mechanism and procedure of flight conflict based on UAVs operation and management platform were proposed. Secondlyꎬ a conflict prediction model building on UAVs flight state data was proposedꎬ which predicted conflicts in both horizontal and vertical directions and determined whether there would be a conflict. And then warning threshold was analyzed to prevent too late reception of alarm information by UAVs ground station. Finallyꎬ real ̄time flight status data of 3 UAVs were used to analyze and verify the model. The results show that the proposed mechanism and program can realize prediction and early warning between non ̄cooperative large UAVsꎬ and the prediction model can accurately determine whether there is a flight conflict as well as calculate when it will happen.
期刊介绍:
China Safety Science Journal is administered by China Association for Science and Technology and sponsored by China Occupational Safety and Health Association (formerly China Society of Science and Technology for Labor Protection). It was first published on January 20, 1991 and was approved for public distribution at home and abroad.
China Safety Science Journal (CN 11-2865/X ISSN 1003-3033 CODEN ZAKXAM) is a monthly magazine, 12 issues a year, large 16 folo, the domestic price of each book is 40.00 yuan, the annual price is 480.00 yuan. Mailing code 82-454.
Honors:
Scopus database includes journals in the field of safety science of high-quality scientific journals classification catalog T1 level
National Chinese core journals China Science and technology core journals CSCD journals
The United States "Chemical Abstracts" search included the United States "Cambridge Scientific Abstracts: Materials Information" search included