K. Falkowski, M. Zokowski, M. Chodnicki, M. Mazur, M. Witoś
{"title":"Self-diagnostic system for mini UAV","authors":"K. Falkowski, M. Zokowski, M. Chodnicki, M. Mazur, M. Witoś","doi":"10.1109/NTAD.2019.8875542","DOIUrl":null,"url":null,"abstract":"The assurance of safety flight of UAVs is complex problem. Now, the UAVs frequently operate in the airspace and they pose a threat for military and civilian airplanes. The detection of UAV damages has important influence for a safety flight of UAV. The detection of damage before flight reduces dangerous of crash and a threat for people. The paper presents a structure of mini fixed wing UAV. Integration of avionic system is assured by the CAN network. The diagnostic parameters are exchanged between devices by the CAN network (an autopilot and peripheral systems). The main part of the presented work is an algorithm of self-diagnostic system with the experimental results from flight data recorder.","PeriodicalId":186247,"journal":{"name":"2019 New Trends in Aviation Development (NTAD)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 New Trends in Aviation Development (NTAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTAD.2019.8875542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The assurance of safety flight of UAVs is complex problem. Now, the UAVs frequently operate in the airspace and they pose a threat for military and civilian airplanes. The detection of UAV damages has important influence for a safety flight of UAV. The detection of damage before flight reduces dangerous of crash and a threat for people. The paper presents a structure of mini fixed wing UAV. Integration of avionic system is assured by the CAN network. The diagnostic parameters are exchanged between devices by the CAN network (an autopilot and peripheral systems). The main part of the presented work is an algorithm of self-diagnostic system with the experimental results from flight data recorder.