X. Q. Li, L. Qiu, Sumair Aziz, J. Pan, J. Yuan, B. Zhang
{"title":"Control method of UAV based on RRT∗ for target tracking in cluttered environment","authors":"X. Q. Li, L. Qiu, Sumair Aziz, J. Pan, J. Yuan, B. Zhang","doi":"10.1109/PESA.2017.8277732","DOIUrl":null,"url":null,"abstract":"In this paper, RRT∗ algorithm is applied to the navigation of UAV for tracking a target in obstacle environment. Planning route generated by RRT∗ algorithm used for flight control of UAV. RRT∗ algorithm is extended to include a track mission considering differential constraints of Quadrotor and the cluttered environment. Paper presents the algorithm flow of RRT∗ and the dynamic models of UAV. Simulation results show that UAV combined with RRT∗ planner can achieve track task successfully in complex environments.","PeriodicalId":223569,"journal":{"name":"2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer & Security (PESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESA.2017.8277732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
In this paper, RRT∗ algorithm is applied to the navigation of UAV for tracking a target in obstacle environment. Planning route generated by RRT∗ algorithm used for flight control of UAV. RRT∗ algorithm is extended to include a track mission considering differential constraints of Quadrotor and the cluttered environment. Paper presents the algorithm flow of RRT∗ and the dynamic models of UAV. Simulation results show that UAV combined with RRT∗ planner can achieve track task successfully in complex environments.