Suspended load path tracking control strategy using a tilt-rotor UAV

dc.creatorMarcelo Alves dos Santos
dc.creatorBrenner Santana Rego
dc.creatorGuilherme Vianna Raffo
dc.creatorAlessandra Ferramosca
dc.date.accessioned2025-04-02T13:33:48Z
dc.date.accessioned2025-09-08T23:36:55Z
dc.date.available2025-04-02T13:33:48Z
dc.date.issued2017
dc.identifier.doihttps://doi.org//10.1155/2017/9095324
dc.identifier.issn0197-6729
dc.identifier.urihttps://hdl.handle.net/1843/81212
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of advanced transportation
dc.rightsAcesso Aberto
dc.subjectAeronave não tripulada
dc.subjectControle automático
dc.subject.othermodel and design of a control and state estimation strategy to path tracking control problem of a suspended load using a tilt-rotor UAV operating in the helicopter flight-mode
dc.subject.otheran unscented Kalman filter is proposed for nonlinear state estimation of all the state variables
dc.titleSuspended load path tracking control strategy using a tilt-rotor UAV
dc.typeArtigo de periódico
local.citation.epage22
local.citation.spage1
local.description.resumoThis work proposes a control strategy to solve the path tracking problem of a suspended load carried by a tilt-rotor unmanned aerial vehicle (UAV). Initially, the equations of motion for the multibody mechanical system are derived from the load’s perspective by means of the Euler-Lagrange formulation, in which the load’s position and orientation are chosen as degrees of freedom. An unscented Kalman filter (UKF) is designed for nonlinear state estimation of all the system states, assuming that available information is provided by noisy sensors with different sampling rates that do not directly measure the load’s attitude. Furthermore, a model predictive control (MPC) strategy is proposed for path tracking of the suspended load with stabilization of the tilt-rotor UAV when parametric uncertainties and external disturbances affect the load, the rope’s length and total system mass vary during taking-off and landing, and the desired yaw angle changes throughout the trajectory. Finally, numerical experiments are presented to corroborate the good performance of the proposed strategy.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://onlinelibrary.wiley.com/doi/10.1155/2017/9095324

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