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Nonlinear Model Predictive Control of a Cable-Robot-Based Motion Simulator

  • In this paper we present the implementation of a model-predictive controller (MPC) for real-time control of a cable-robot-based motion simulator. The controller computes control inputs such that a desired acceleration and angular velocity at a defined point in simulator’s cabin are tracked while satisfying constraints imposed by working space and allowed cable forces of the robot. In order toIn this paper we present the implementation of a model-predictive controller (MPC) for real-time control of a cable-robot-based motion simulator. The controller computes control inputs such that a desired acceleration and angular velocity at a defined point in simulator’s cabin are tracked while satisfying constraints imposed by working space and allowed cable forces of the robot. In order to fully use the simulator capabilities, we propose an approach that includes the motion platform actuation in the MPC model. The tracking performance and computation time of the algorithm are investigated in computer simulations. Furthermore, for motion simulation scenarios where the reference trajectories are not known beforehand, we derive an estimate on how much motion simulation fidelity can maximally be improved by any reference prediction scheme compared to the case when no prediction scheme is applied.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/2704
Bibliografische Angaben
Title (English):Nonlinear Model Predictive Control of a Cable-Robot-Based Motion Simulator
Conference:IFAC World Congress (20. : July 9-14, 2017 : Toulouse, France)
Author:Mikhail Katliar, Gianluca Frison, Jörg FischerStaff MemberGND
Year of Publication:2017
Contributing Corporation:International Federation of Automatic Control (IFAC)
Place of publication:Amsterdam
Publisher:Elsevier
First Page:9833
Last Page:9839
Parent Title (German):IFAC-PapersOnLine
Volume:50
Issue:1
ISSN:1474-6670
DOI:https://doi.org/10.1016/j.ifacol.2017.08.901
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt