Authors:
Alexander Lamprecht, Dennis Steffen, Jens Haecker, Knut Graichen
Keywords:
motion cueing, model predictive control, optimization-based, motion simulators
Abstract:
This paper presents a comparison between a filter-based and a model predictive control (MPC) based motion cueing algorithm in an offline simulator study. To this end, the motion of the simulator for a set of test maneuvers was computed offline with the different motion cueing algorithms and afterwards presented to the human test persons in a playback manner, i.e. the subjects were sitting in the drivers seat but were acting as passive passengers only and thus could not control the car themselves. After they were presented with the same maneuver twice, one time with motion generated by the filter-based approach and one time by the MPC-based approach, they were asked which one felt more realistic and why. Additionally, different parameterizations of the model predictive approach were compared to each other. The results show a clear preference to the MPC-based over the filter-based approach, indicating its high potential for the driver-in-the-loop usage.
Lamprecht A.; Steffen D.; Haecker J. and Graichen K. Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study In: Proceedings of the Driving Simulation Conference 2019 Europe VR, Driving Simulation Association, Strasbourg, France, 2019, pp. 101-107
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@inproceedings{Lamprecht2019,
title = {Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study},
author = {Alexander Lamprecht and Dennis Steffen and Jens Haecker and Knut Graichen},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
isbn = {978-2-85782-749-8},
year = {2019},
date = {2019-09-04},
booktitle = {Proceedings of the Driving Simulation Conference 2019 Europe VR},
pages = {101-107},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {This paper presents a comparison between a filter-based and a model predictive control (MPC) based motion cueing algorithm in an offline simulator study. To this end, the motion of the simulator for a set of test maneuvers was computed offline with the different motion cueing algorithms and afterwards presented to the human test persons in a playback manner, i.e. the subjects were sitting in the drivers seat but were acting as passive passengers only and thus could not control the car themselves. After they were presented with the same maneuver twice, one time with motion generated by the filter-based approach and one time by the MPC-based approach, they were asked which one felt more realistic and why. Additionally, different parameterizations of the model predictive approach were compared to each other. The results show a clear preference to the MPC-based over the filter-based approach, indicating its high potential for the driver-in-the-loop usage.},
keywords = {model predictive control, motion cueing, motion simulators, optimization based},
}
Download .bib file
TY - CONF
TI - Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study
AU - Lamprecht, Alexander
AU - Steffen, Dennis
AU - Haecker, Jens
AU - Graichen, Knut
C1 - Strasbourg, France
C3 - Proceedings of the Driving Simulation Conference 2019 Europe VR
DA - 2019/09/04
PY - 2019
SP - 101
EP - 107
LA - en-US
PB - Driving Simulation Association
SN - 978-2-85782-749-8
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2019/comparison-between-a-filter-and-an-mpc-based-mca-in-an-of%ef%ac%82ine-simulator-study
ER -
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