Authors:
Mattia Bruschetta, Daniel Cunico, Yutao Chen, Alessandro Beghi, Diego Minen
Keywords:
motion cueing, non linear MPC, active seat, active belts
Abstract:
Due to physical-mechanical limitations, dynamic driving simulators are typically used to reproduce transientphenomena.Theabsenceoftheso-called”sustainedaccelerations”isoneofthemainfactorsthatcontributes to increase the conflict between real and virtual environment, which typical produces sickness in non-trained drivers. An interesting add-on that is capable of providing the driver with sustained accelerations is the Active Seat (AS) with integrated Active Belts (AB). Although the application in static simulators is almost straightforward, its usage in dynamic ones requires a specific algorithm, capable of managing, on-line, the interaction between platformaccelerationandAS.IntheframeworkofModelPredictiveControl(MPC)weproposeaMulti-SensoryCueing Algorithm (MSCA) that computes coordinated references for the platform and for the AS/AB systems. A dynamic model of a seated human body is used to relate forces and contact pressures acting on the driver, then coupling it with the vestibular model and the platform motion. Simulative results are reported, showing the advantages in using the approach comparing a compact simulator and a giant one.
Bruschetta M.; Cunico D.; Chen Y.; Beghi A. and Minen D. An MPC based Multi-Sensory Cueing Algorithm (MSCA) for a high performance driving simulator with active seat In: Proceedings of the Driving Simulation Conference 2017 Europe VR, Driving Simulation Association, Stuttgart, Germany, 2017, pp. 65-71
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@inproceedings{Bruschetta2017,
title = {An MPC based Multi-Sensory Cueing Algorithm (MSCA) for a high performance driving simulator with active seat},
author = {Mattia Bruschetta and Daniel Cunico and Yutao Chen and Alessandro Beghi and Diego Minen},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
issn = {0769-0266},
year = {2017},
date = {2017-09-06},
booktitle = {Proceedings of the Driving Simulation Conference 2017 Europe VR},
pages = {65-71},
address = {Stuttgart, Germany},
organization = {Driving Simulation Association},
abstract = {Due to physical-mechanical limitations, dynamic driving simulators are typically used to reproduce transientphenomena.Theabsenceoftheso-called”sustainedaccelerations”isoneofthemainfactorsthatcontributes to increase the conflict between real and virtual environment, which typical produces sickness in non-trained drivers. An interesting add-on that is capable of providing the driver with sustained accelerations is the Active Seat (AS) with integrated Active Belts (AB). Although the application in static simulators is almost straightforward, its usage in dynamic ones requires a specific algorithm, capable of managing, on-line, the interaction between platformaccelerationandAS.IntheframeworkofModelPredictiveControl(MPC)weproposeaMulti-SensoryCueing Algorithm (MSCA) that computes coordinated references for the platform and for the AS/AB systems. A dynamic model of a seated human body is used to relate forces and contact pressures acting on the driver, then coupling it with the vestibular model and the platform motion. Simulative results are reported, showing the advantages in using the approach comparing a compact simulator and a giant one.},
keywords = {active belts, active seat, motion cueing, non linear MPC},
}
Download .bib file
TY - CONF
TI - An MPC based Multi-Sensory Cueing Algorithm (MSCA) for a high performance driving simulator with active seat
AU - Bruschetta, Mattia
AU - Cunico, Daniel
AU - Chen, Yutao
AU - Beghi, Alessandro
AU - Minen, Diego
C1 - Stuttgart, Germany
C3 - Proceedings of the Driving Simulation Conference 2017 Europe VR
DA - 2017/09/06
PY - 2017
SP - 65
EP - 71
LA - en-US
PB - Driving Simulation Association
SN - 0769-0266
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2017/an-mpc-based-multi-sensory-cueing-algorithm-msca-for-a-high-performance-driving-simulator-with-active-seat
ER -
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