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dc.contributor.authorGrau Saldes, Antoni
dc.contributor.authorBolea Monte, Yolanda
dc.contributor.authorSanfeliu Cortés, Alberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-01-24T11:25:34Z
dc.date.available2019-01-24T11:25:34Z
dc.date.issued2018
dc.identifier.citationGrau, A.; Bolea, Y.; Sanfeliu, A. Quadrotor multi-model for control purposes. "Journal of physics: conference series", 2018, vol. 1141, Conference 1, p. 1-6.
dc.identifier.issn1742-6588
dc.identifier.urihttp://hdl.handle.net/2117/127521
dc.description.abstractIn this work, a multi-model of a quadrotor is developed in order to control this system. The kinematic model of each part of the quadrotor will be derived using the Euler angles, and also the dynamics model of the quadrotor will be calculated based on the first principles of a rigid body using the Newton-Euler formulation. Furthermore, the following assumptions are used :1) The structure is completely rigid and perfectly symmetric. 2) The center of mass is in the origin of the quadrotor fixed frame. 3) The thrusts are proportional to the square of the motors rotational speed. A state-space model (kinematics and dynamics) is developed by physical laws. But, this deduced model presents several no linearities that are produced by three factors: the orientation (Pitch, Roll and Yaw), the control action and the angular velocities. To be able to control the quadrotor system in simple, linear and manageable way, it is necessary to linearize the system. Two method are possible: a classical linearization around several set-points and a multi-model linearization. In this case, a multi-model linearization is proposed due to the obtained control model will be used to compute a multi-model controller using fuzzy techniques. Fuzzy control techniques are suitable for linear parameter varying systems with no linearities, as our quadrotor.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Physics (IOP)
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subjectÀrees temàtiques de la UPC::Enginyeria mecànica::Mecànica::Cinemàtica
dc.subject.lcshKinematics
dc.subject.lcshQuadrotor helicopters
dc.subject.lcshDrone aircraft -- Control systems
dc.subject.otherUAV
dc.subject.otherFuzzy control
dc.titleQuadrotor multi-model for control purposes
dc.typeArticle
dc.subject.lemacCinemàtica
dc.subject.lemacAvions no tripulats -- Sistemes de control
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents
dc.identifier.doi10.1088/1742-6596/1141/1/012024
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://iopscience.iop.org/article/10.1088/1742-6596/1141/1/012024
dc.rights.accessOpen Access
local.identifier.drac23610813
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/644271/EU/AErial RObotic system integrating multiple ARMS and advanced manipulation capabilities for inspection and maintenance/AEROARMS
local.citation.authorGrau, A.; Bolea, Y.; Sanfeliu, A.
local.citation.publicationNameJournal of physics: conference series
local.citation.volume1141
local.citation.numberConference 1
local.citation.startingPage1
local.citation.endingPage6


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