Robust guidance strategy for target circulation by controlled UAV

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dc.creatorJose Lucas Gomes Olavo
dc.creatorTales Argolo Jesus
dc.creatorLuciano Cunha de Araújo Pimenta
dc.creatorGonçalo Daniel Thums
dc.creatorLeonardo Antonio Borges Torres
dc.creatorReinaldo Martinez Palhares
dc.date.accessioned2025-04-17T16:23:55Z
dc.date.accessioned2025-09-09T01:17:44Z
dc.date.available2025-04-17T16:23:55Z
dc.date.issued2018
dc.identifier.doihttps://doi.org/10.1109/TAES.2018.2793058
dc.identifier.issn0018-9251
dc.identifier.urihttps://hdl.handle.net/1843/81706
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofIEEE Transactions on aerospace and electronic systems
dc.rightsAcesso Restrito
dc.subjectAeronave não tripulada
dc.subjectModelos matemáticos
dc.subject.otherAtmospheric modeling , Uncertainty , Vehicle dynamics , Aerodynamics , Aircraft , Robustness , Mathematical model
dc.subject.otherArtificial vector field , fixed-wing unmanned aerial vehicle (UAV) , inputs and states constraints , robust guidance , target circulation
dc.subject.otherUnmanned Aerial Vehicles , Robust Strategy , Guidance Strategy , Dynamical , Essential Step , Error Model , Aerial Vehicles , State Constraints , Atmospheric Waves , Additive Disturbances , Fixed-wing Unmanned Aerial Vehicles , Simple Model , Nonlinear Model , Optimal Control , Positive Constant , Vector Field , State Machine , Model Predictive Control , Nonlinear Control , Additional Uncertainty , Low-level Control , Roll Angle , Wind Gusts , Translational Velocity , Presence Of Uncertainty , Turn Rate , Wind Disturbance , Radial Vector , Turns Ratio , Discontinuous Change
dc.titleRobust guidance strategy for target circulation by controlled UAV
dc.typeArtigo de periódico
local.citation.epage1431
local.citation.spage1415
local.citation.volume54
local.description.resumoA controlled fixed-wing unmanned aerial vehicle is modeled as a simplified low-dimensional nonlinear dynamical system with additive disturbances. The guidance strategy presented, considering simultaneously inputs and states constraints, is shown to be robust to additive perturbations representing norm-bounded uncertainties associated with modeling errors resulting from the lower order model approximation, together with unknown but limited atmospheric disturbances. Mathematical proofs are provided ensuring robustness in achieving target circulation with a minimum prescribed accuracy.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://ieeexplore.ieee.org/document/8255575

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