{"title":"Cooperative Control of Innovative Tri-Rotor Drones Using Robust Feedback Linearization","authors":"Junyan Hu, A. Lanzon","doi":"10.1109/CONTROL.2018.8516820","DOIUrl":null,"url":null,"abstract":"This paper presents a novel distributed formation control architecture for innovative tri-rotor drones. The three rotors of this novel aerial robotic platform can be tilted independently to obtain full force and torque vectoring authority, such that the tri-rotor drone is able to overcome the limitations of a classic quadrotor UAV that can not change its attitude while hovering at a stationary position. In the flight control systems design, a robust feedback linearization controller is first developed to handle the highly coupled and nonlinear dynamics and a distributed adaptive formation control tracking protocol is then designed to control a swarm of tri-rotor UAVs. The 3D position and 3D attitude of each vehicle can be controlled independently to follow a desired formation. The effectiveness of the proposed control strategy is shown via a realistic virtual reality simulation environment that the networked tri-rotor drones are robust to aerodynamic disturbances and model uncertainties.","PeriodicalId":266112,"journal":{"name":"2018 UKACC 12th International Conference on Control (CONTROL)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 UKACC 12th International Conference on Control (CONTROL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONTROL.2018.8516820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents a novel distributed formation control architecture for innovative tri-rotor drones. The three rotors of this novel aerial robotic platform can be tilted independently to obtain full force and torque vectoring authority, such that the tri-rotor drone is able to overcome the limitations of a classic quadrotor UAV that can not change its attitude while hovering at a stationary position. In the flight control systems design, a robust feedback linearization controller is first developed to handle the highly coupled and nonlinear dynamics and a distributed adaptive formation control tracking protocol is then designed to control a swarm of tri-rotor UAVs. The 3D position and 3D attitude of each vehicle can be controlled independently to follow a desired formation. The effectiveness of the proposed control strategy is shown via a realistic virtual reality simulation environment that the networked tri-rotor drones are robust to aerodynamic disturbances and model uncertainties.