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dc.contributor.authorBordalba Llaberia, Ricard
dc.contributor.authorPorta Pleite, Josep Maria
dc.contributor.authorRos Giralt, Lluís
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2019-03-01T13:35:12Z
dc.date.available2019-03-01T13:35:12Z
dc.date.issued2018
dc.identifier.citationBordalba, R.; Porta, J.; Ros, L. A singularity-robust LQR controller for parallel robots. A: IEEE/RSJ International Conference on Intelligent Robots and Systems. "2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 270-276.
dc.identifier.urihttp://hdl.handle.net/2117/130001
dc.description© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractParallel robots exhibit the so-called forward singularities, which complicate substantially the planning and control of their motions. Often, such complications are circumvented by restricting the motions to singularity-free regions of the workspace. However, this comes at the expense of reducing the motion range of the robot substantially. It is for this reason that, recently, efforts are underway to control singularity- crossing trajectories. This paper proposes a reliable controller to stabilize such kind of trajectories. The controller is based on the classical theory of linear quadratic regulators, which we adapt appropriately to the case of parallel robots. As opposed to traditional computed-torque methods, the obtained controller does not rely on expensive inverse dynamics computations. Instead, it uses an optimal control law that is easy to evaluate, and does not generate instabilities at forward singularities. The performance of the controller is exemplified on a five-bar parallel robot accomplishing two tasks that require the traversal of singularities.
dc.format.extent7 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.otherlinear quadratic control
dc.subject.othermanipulators
dc.subject.otheroptimal control
dc.subject.otherrobot dynamics
dc.subject.otherrobot kinematics
dc.subject.otherLQR
dc.subject.otherOptimal Control
dc.subject.otherParallel Robots
dc.subject.otherManifold
dc.subject.otherSingularites
dc.subject.otherSingularity-Robust
dc.titleA singularity-robust LQR controller for parallel robots
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. KRD - Cinemàtica i Disseny de Robots
dc.identifier.doi10.1109/IROS.2018.8594084
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Automation::Robots
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8594084
dc.rights.accessOpen Access
local.identifier.drac23843744
dc.description.versionPostprint (author's final draft)
local.citation.authorBordalba, R.; Porta, J.; Ros, L.
local.citation.contributorIEEE/RSJ International Conference on Intelligent Robots and Systems
local.citation.publicationName2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
local.citation.startingPage270
local.citation.endingPage276


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