Authors:
Barys Shyrokau, Daan M. Pool, Frank Zantner, Martin Heiderich, Maurice Kolff, Vincenzo Ricciardi
Keywords:
model predictive control, motion cueing algorithm, Vehicle dynamics
Abstract:
Kolff M.; Pool D.M.; Ricciardi V.; Heiderich M.; Zantner F. and Shyrokau B. A Model Predictive Control Algorithm for Matched Lateral/Yaw Motion In: Proceedings of the Driving Simulation Conference 2026 Europe XR, Driving Simulation Association, Antibes, France, 2026, pp. 67 - 74
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@inproceedings{Kolff2026,
title = {A Model Predictive Control Algorithm for Matched Lateral/Yaw Motion},
author = {Maurice Kolff and Daan M. Pool and Vincenzo Ricciardi and Martin Heiderich and Frank Zantner and Barys Shyrokau
},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet and Stéphane Espié},
doi = {https://doi.org/10.82157/dsa/2026/9},
isbn = {978-2-9573777-9-4},
year = {2026},
date = {2026-09-16},
booktitle = {Proceedings of the Driving Simulation Conference 2026 Europe XR},
volume = {11},
pages = {67 - 74},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {This paper describes a novel model-predictive control motion cueing approach for driving simulation.The simulator’s lateral and yaw motions are explicitly matched through known relations from vehicle dynamics,rather than the state-of-the-art approach of optimizing for the lateral and yaw motion channels separately. Toevaluate the implementation, three representative example motion systems are considered: (MS 1) a hexapod,(MS 2) a hexapod with a yaw-drive underneath, and (MS 3) a hexapod with a y-drive underneath. Offline, openloop simulations for a driving scenario were compared objectively through the root-mean square difference. Theresults show the effectiveness of the matched approach compared to the state-of-the-art baseline approach without explicit matching. By purposefully reducing the motion in either the lateral or yaw direction, an improved motion reproduction compared to the state-of-the-art approach is achieved, which was confirmed by four drivers in a pilot study. While the presented approach requires further experimental validation, the matching of vehicle lateral and yaw motion may enable a leap towards vehicle dynamics-based motion cueing.},
keywords = {},
}
Download .bib file
TY - CONF
TI - A Model Predictive Control Algorithm for Matched Lateral/Yaw Motion
AU - Kolff, Maurice
AU - Pool, Daan M.
AU - Ricciardi, Vincenzo
AU - Heiderich, Martin
AU - Zantner, Frank
AU - Shyrokau, Barys
C1 - Antibes, France
C3 - Proceedings of the Driving Simulation Conference 2026 Europe XR
DA - 2026/09/16
PY - 2026
SP - 67
EP - 74
LA - en-US
PB - Driving Simulation Association
SN - 978-2-9573777-9-4
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2026/a-model-predictive-control-algorithmfor-matched-lateral-yaw-motion
ER -
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