An MPC-Based Motion Cueing implementation with Time-Varying Prediction and drivers skills characterization
Authors:
Mattia Bruschetta, Fabio Maran, Carlo Cenedese, Alessandro Beghi, Diego Minen
Keywords:
motion cueing, non linear MPC, prediction
Abstract:
Model Predictive Control (MPC) has been successfully applied to Motion Cueing Algorithms (MCAs), being well suited for the task of solving an optimal problem with the need for fulfillment of physical boundaries. Nevertheless, the predictive aspect of the algorithm has not yet been applied effectively, due both to the evident difficulties in predicting the driver behavior for a significantly long time window, and to the hard real-time requirement. In this paper, we present a real time implementation of the so called Look Ahead (LA) strategy tested on the vertical DOF in experimental environment. The procedure is conceived to be safe to possible driver error and it is proven to be robust and adjustable to variation of the driver capabilities.
Cite this article
Bruschetta M.; Maran F.; Cenedese C.; Beghi A. and Minen D. An MPC-Based Motion Cueing implementation with Time-Varying Prediction and drivers skills characterization In: Proceedings of the Driving Simulation Conference 2016 Europe, Driving Simulation Association, Paris, France, 2016, pp. 11-20
@inproceedings{Bruschetta2016,
title = {An MPC-Based Motion Cueing implementation with Time-Varying Prediction and drivers skills characterization},
author = {Mattia Bruschetta and Fabio Maran and Carlo Cenedese and Alessandro Beghi and Diego Minen},
editor = {Andras Kemeny and Frédéric Merienne and Florent Colombet and Stéphane Espié},
issn = {0769-0266},
year = {2016},
date = {2016-09-07},
booktitle = {Proceedings of the Driving Simulation Conference 2016 Europe},
pages = {11-20},
address = {Paris, France},
organization = {Driving Simulation Association},
abstract = {Model Predictive Control (MPC) has been successfully applied to Motion Cueing Algorithms (MCAs), being well suited for the task of solving an optimal problem with the need for fulfillment of physical boundaries. Nevertheless, the predictive aspect of the algorithm has not yet been applied effectively, due both to the evident difficulties in predicting the driver behavior for a significantly long time window, and to the hard real-time requirement. In this paper, we present a real time implementation of the so called Look Ahead (LA) strategy tested on the vertical DOF in experimental environment. The procedure is conceived to be safe to possible driver error and it is proven to be robust and adjustable to variation of the driver capabilities.},
keywords = {motion cueing, non linear MPC, prediction},
}
TY - CONF TI - An MPC-Based Motion Cueing implementation with Time-Varying Prediction and drivers skills characterization AU - Bruschetta, Mattia AU - Maran, Fabio AU - Cenedese, Carlo AU - Beghi, Alessandro AU - Minen, Diego C1 - Paris, France C3 - Proceedings of the Driving Simulation Conference 2016 Europe DA - 2016/09/07 PY - 2016 SP - 11 EP - 20 LA - en-US PB - Driving Simulation Association SN - 0769-0266 L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2016/an-mpc-based-motion-cueing-implementation-with-time-varying-prediction-and-drivers-skills-characterization ER -
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