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    A Comparison Between Coupled and Decoupled Vehicle Motion Controllers Based on Prediction Models

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    Identifiers
    URI: http://hdl.handle.net/11556/762
    ISSN: 1931-0587
    ISBN: 978-1-7281-0561-1
    DOI: 10.1109/ivs.2019.8814256
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    Author/s
    Matute, Jose A.; Lattarulo, Ray; Zubizarreta, Asier; Perez, Joshue
    Date
    2019
    Keywords
    Vehicle Motion
    Intelligent Vehicles
    Model Predictive Control
    Abstract
    In this work, a comparative study is carried out with two different predictive controllers that consider the longitudinal jerk and steering rate change as additional parameters, as additional parameters, so that comfort constraints can be included. Furthermore, the approaches are designed so that the effect of longitudinal and lateral motion control coupling can be analyzed. This way, the first controller is a longitudinal and lateral coupled MPC approach based on a kinematic model of the vehicle, while the second is a decoupled strategy based on a triple integrator model based on MPC for the longitudinal control and a double proportional curvature control for the lateral motion control. The control architecture and motion planning are exhaustively explained. The comparative study is carried out using a test vehicle, whose dynamics and low-level controllers have been simulated using the realistic simulation environment Dynacar. The performed tests demonstrate the effectiveness of both ...
    Type
    conferenceObject

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