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Feasibility Analysis For Constrained Model Predictive Control Based Motion Cueing Algorithm

Communication avec acte
Auteur
RENGIFO, Carolina
133641 Technocentre Renault [Guyancourt]
MOHELLEBI, Hakim
133641 Technocentre Renault [Guyancourt]
PAILLOT, Damien
KEMENY, Andras
133641 Technocentre Renault [Guyancourt]
ccCHARDONNET, Jean-Rémy
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]

URI
http://hdl.handle.net/10985/16315
DOI
10.1109/icra.2019.8794129
Date
2019

Résumé

This paper deals with motion control for an 8-degree-of-freedom (DOF) high performance driving simulator. We formulate a constrained optimal control that defines the dynamical behavior of the system. Furthermore, the paper brings together various methodologies for addressing feasibility issues arising in implicit model predictive control-based motion cueing algorithms. The implementation of different techniques is described and discussed subsequently. Several simulations are carried out in the simulator platform. It is observed that the only technique that can provide ensured closed-loop stability by assuring feasibility over all prediction horizons is a braking law that basically saturates the control inputs in the constrained form.

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LISPEN_ICRA_2019_RENGIFO.pdf
Taille:
1.069Mo
Format:
PDF
Fin d'embargo:
2019-11-20
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  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Solving the Constrained Problem in Model Predictive Control Based Motion Cueing Algorithm with a Neural Network Approach 
    Communication avec acte
    RENGIFO, Carolina; PAILLOT, Damien; MOHELLEBI, Hakim; KEMENY, Andras; ccCHARDONNET, Jean-Rémy (2018)
    Because of the critical timing requirement, one major issue regarding model predictive control-based motion cueing algorithms is the calculation of real-time optimal solutions. In this paper, a continuous-time recurrent ...
  • Driving simulator study of the relationship between motion strategy preference and self-reported driving behavior 
    Article dans une revue avec comité de lecture
    RENGIFO, Carolina; MOHELLEBI, Hakim; PAILLOT, Damien; KEMENY, Andras; ccCHARDONNET, Jean-Rémy (SAGE Publications, 2021)
    Faithful motion restitution in driving simulators normally focuses on track monitoring and maximizing the platform workspace by leaving aside the principal component—the driver. Therefore, in this work we investigated the ...
  • Impact of Human-Centered Vestibular System Model for Motion Control in a Driving Simulator 
    Article dans une revue avec comité de lecture
    RENGIFO, Carolina; MOHELLEBI, Hakim; KEMENY, Andras; ccCHARDONNET, Jean-Rémy (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    This study presents a driving simulator experiment to evaluate three different motion cueing algorithms based on model predictive control. The difference among these motion strategies lies in the type of mathematical model ...
  • Effect of proprioceptive vibrations on simulator sickness during navigation task in virtual environment 
    Communication avec acte
    ccPLOUZEAU, Jeremy; PAILLOT, Damien; ccMERIENNE, Frédéric; ccCHARDONNET, Jean-Rémy (2015)
    In virtual reality the navigation task can generate motion sickness also called simulator sickness or cyber-sickness. This in mainly due to the lack of sensory feedbacks during the task. The presented work aims at studying ...
  • Angular Velocity Perception Threshold and Sense of Presence for a Three Degrees of Freedom (DOF). Driving Simulator in Virtual Environment 
    Article dans une revue avec comité de lecture
    AYKENT, Baris; KEMENY, Andras; ccMERIENNE, Frédéric; ccCHARDONNET, Jean-Rémy (2018)
    Angular velocity perception plays an important role for a better sense of presence in driving simulators. This paper deals with the angular velocity perception threshold and sense of presence. A three degrees of freedom ...

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