S. Aich, Chahat Ahuja, Tushar Gupta, P. Arulmozhivarman
{"title":"Analysis of ground effect on multi-rotors","authors":"S. Aich, Chahat Ahuja, Tushar Gupta, P. Arulmozhivarman","doi":"10.1109/ICECCE.2014.7086619","DOIUrl":null,"url":null,"abstract":"The motion of a UAV is greatly influenced by its interaction with different kinds of surfaces in proximity. In this paper, we address the aerodynamic challenge termed as `The ground effect' faced by a UAV, by mathematical modelling of its dynamic response. An AR Drone 2.0 has been used to collect the variations of parameters such as roll and pitch at different heights above a smooth surface. The data thus obtained has been analyzed on MATLAB R2013a and mathematical models have been created to correct them for a more stable take-off, landing and near ground flights. The controller in a UAV constantly adjusts to stabilize the UAV. Results show that model obtained can be used to counter the ground effect in UAVs. The model obtained would also decrease stress on the controller and it will consume less power as it would not have to expend extra power in attempting to stabilize the UAV.","PeriodicalId":223751,"journal":{"name":"2014 International Conference on Electronics, Communication and Computational Engineering (ICECCE)","volume":"374 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electronics, Communication and Computational Engineering (ICECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECCE.2014.7086619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
The motion of a UAV is greatly influenced by its interaction with different kinds of surfaces in proximity. In this paper, we address the aerodynamic challenge termed as `The ground effect' faced by a UAV, by mathematical modelling of its dynamic response. An AR Drone 2.0 has been used to collect the variations of parameters such as roll and pitch at different heights above a smooth surface. The data thus obtained has been analyzed on MATLAB R2013a and mathematical models have been created to correct them for a more stable take-off, landing and near ground flights. The controller in a UAV constantly adjusts to stabilize the UAV. Results show that model obtained can be used to counter the ground effect in UAVs. The model obtained would also decrease stress on the controller and it will consume less power as it would not have to expend extra power in attempting to stabilize the UAV.
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