Comparison between a Filter- and an MPC-based MCA in an Offline Simulator Study
Lamprecht A, Steffen D, Häcker J, Graichen K (2019)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2019
Pages Range: 101-107
Event location: Strasbourg
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.
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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.
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