Authors:
Roger Torm Obradors, Xabier Carrera Akutain
Keywords:
Steering response, eigenfrequency, HWLS, estimator, feedforward
Abstract:
Obradors R.T. and Akutain X.C. Steering feedback improvement by system identification in driving simulator In: Proceedings of the Driving Simulation Conference 2022 Europe VR, Driving Simulation Association, Strasbourg, France, 2022, pp. 137-144
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@inproceedings{Obradors2022,
title = {Steering feedback improvement by system identification in driving simulator},
author = {Roger Torm Obradors and Xabier Carrera Akutain},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year = {2022},
date = {2022-09-15},
booktitle = {Proceedings of the Driving Simulation Conference 2022 Europe VR},
pages = {137-144},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {Driving simulators have become a widely used tool in vehicle system development and driver behaviour studies. Simulators can provide a wide range of fidelity and capabilities but they all host a virtual representation of the vehicle running in real-time which communicates with the hardware to send control commands, these are then turned into feedback cues for the human in the loop. For any driving simulator that aims to have higher fidelity in terms of road feel, the control accuracy and stability of the steering wheel become essential. To achieve high fidelity handwheel feedback great focus is put on using low latency motors, but usually little attention is paid to account for the dynamics between the steering wheel and the actuator. These dynamics have limited impact for low latency direct-drive systems but are of increasing relevance as mechanical steering column components are added, especially for indirect-drive motors. When using high fidelity vehicle and steering models, ignoring the physical system’s transfer path dynamics leads to sub-optimal control and in some cases to unstable behaviour.In this work, control loop optimizations and plant modifications are proposed to tackle system instabilities and improve feedback fidelity is proposed and applied to a static driving simulator. },
keywords = {eigenfrequency, estimator, feedforward, HWLS, Steering response},
}
Download .bib file
TY - CONF
TI - Steering feedback improvement by system identification in driving simulator
AU - Obradors, Roger Torm
AU - Akutain, Xabier Carrera
C1 - Strasbourg, France
C3 - Proceedings of the Driving Simulation Conference 2022 Europe VR
DA - 2022/09/15
PY - 2022
SP - 137
EP - 144
LA - en-US
PB - Driving Simulation Association
L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2022/steering-feedback-improvement-by-system-identification-in-driving-simulator
ER -
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