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A Multi-Layer Control Scheme for a centralized UAV formation
This paper presents an application of the multi-layer control scheme to guide a formation of three unmanned aerial vehicles (UAV) in trajectory tracking missions. In such case, each part of the formation control problem is dealt by an individual layer, which is independent module dealing with a spec...
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creator | Brandao, Alexandre S. Barbosa, Joao P. A. Mendoza, Valentin Sarcinelli-Filho, Mario Carelli, Ricardo |
description | This paper presents an application of the multi-layer control scheme to guide a formation of three unmanned aerial vehicles (UAV) in trajectory tracking missions. In such case, each part of the formation control problem is dealt by an individual layer, which is independent module dealing with a specific part of the navigation problem. These layers are responsible to generate the desired path of the formation, to provide the desired posture of the robots, and to establish the control signal of each robot to reach their desired positions. The formation controller here introduced is able to coordinate the robots to the desired formation, including the possibility of time-varying position and/or shape, while a nonlinear underactuated controller previously proposed is responsible to guide the UAVs to their desired positions. The stability analysis of the closed-loop system is demonstrated in the sense of Lyapunov, resulting that the formation errors are ultimately bounded. Finally, simulation results for a group of three quadrotors are presented and discussed to validate the proposed model and controller. |
doi_str_mv | 10.1109/ICUAS.2014.6842373 |
format | conference_proceeding |
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The formation controller here introduced is able to coordinate the robots to the desired formation, including the possibility of time-varying position and/or shape, while a nonlinear underactuated controller previously proposed is responsible to guide the UAVs to their desired positions. The stability analysis of the closed-loop system is demonstrated in the sense of Lyapunov, resulting that the formation errors are ultimately bounded. 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The formation controller here introduced is able to coordinate the robots to the desired formation, including the possibility of time-varying position and/or shape, while a nonlinear underactuated controller previously proposed is responsible to guide the UAVs to their desired positions. The stability analysis of the closed-loop system is demonstrated in the sense of Lyapunov, resulting that the formation errors are ultimately bounded. Finally, simulation results for a group of three quadrotors are presented and discussed to validate the proposed model and controller.</description><subject>Aerodynamics</subject><subject>Navigation</subject><subject>Robots</subject><subject>Shape</subject><subject>Trajectory</subject><subject>Vehicle dynamics</subject><isbn>1479923761</isbn><isbn>9781479923762</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2014</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKxDAYheNCUMd5Ad3kBVrz59qAm1K8DFRcjHU7JJk_GGmnktbF-PRWnNX5-DgcOITcACsBmL3bNF29LTkDWepKcmHEGbkCaaxdWMMFWU_TJ2MMrDYVV5fkvqYv3_2citYdMdNmPMx57Ok2fOCANI6ZOhpwka5PP7inXf3-Zwc3p_FwTc6j6ydcn3JFuseHt-a5aF-fNk3dFgmMmgsTIEarZFRa8Aq8Z0JFIcB5YRBRoA6Mh4XlPlbeRu7RRViUNVwj52JFbv9301LffeU0uHzcnQ6KX1XnReo</recordid><startdate>201405</startdate><enddate>201405</enddate><creator>Brandao, Alexandre S.</creator><creator>Barbosa, Joao P. 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A.</creatorcontrib><creatorcontrib>Mendoza, Valentin</creatorcontrib><creatorcontrib>Sarcinelli-Filho, Mario</creatorcontrib><creatorcontrib>Carelli, Ricardo</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Brandao, Alexandre S.</au><au>Barbosa, Joao P. 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These layers are responsible to generate the desired path of the formation, to provide the desired posture of the robots, and to establish the control signal of each robot to reach their desired positions. The formation controller here introduced is able to coordinate the robots to the desired formation, including the possibility of time-varying position and/or shape, while a nonlinear underactuated controller previously proposed is responsible to guide the UAVs to their desired positions. The stability analysis of the closed-loop system is demonstrated in the sense of Lyapunov, resulting that the formation errors are ultimately bounded. Finally, simulation results for a group of three quadrotors are presented and discussed to validate the proposed model and controller.</abstract><pub>IEEE</pub><doi>10.1109/ICUAS.2014.6842373</doi><tpages>7</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Aerodynamics Navigation Robots Shape Trajectory Vehicle dynamics |
title | A Multi-Layer Control Scheme for a centralized UAV formation |
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