Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Lamprecht A, Steffen D, Häcker J, Graichen K
Publication year: 2019
Pages range: 101-107
Language: English


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.


FAU Authors / FAU Editors

Graichen, Knut Prof. Dr.-Ing.
Lehrstuhl für Regelungstechnik
Lamprecht, Alexander
Lehrstuhl für Regelungstechnik


How to cite

APA:
Lamprecht, A., Steffen, D., Häcker, J., & Graichen, K. (2019). Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study. In Proceedings of the Driving Simulation Conference & Exhibition (DSC) (pp. 101-107). Strasbourg, FR.

MLA:
Lamprecht, Alexander, et al. "Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study." Proceedings of the Driving Simulation Conference & Exhibition (DSC), Strasbourg 2019. 101-107.

BibTeX: 

Last updated on 2019-09-09 at 14:08