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Title

A singularity-robust LQR controller for parallel robots

AuthorsBordalba, Ricard ; Porta, Josep M. ; Ros, Lluís
KeywordsTrajectory
Parallel robots
Robot kinematics
Regulators
Task analysis
Issue Date7-Jan-2019
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)
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
DescriptionTrabajo presentado en la IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), celebrada en Madrid, del 1 al 5 de octubre de 2018
Publisher version (URL)http://dx.doi.org/10.1109/IROS.2018.8594084
URIhttp://hdl.handle.net/10261/179432
DOI10.1109/IROS.2018.8594084
ISBN978-1-5386-8094-0
E-ISSN2153-0866
Appears in Collections:(IRII) Libros y partes de libros
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