Optimization of the Steering Feel with Neural Networks for Force Feedback Systems

@inproceedings{Dieing2024,
title = {Optimization of the Steering Feel with Neural Networks for Force Feedback Systems},
author = {Andreas Dieing and Dr.-Ing. Gerd Baumann and Kevin Mehre and Dr.-Ing. Martin Kehrer and Prof. Dr. Hans-Christian Reuss},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet and Stéphane Espié},
isbn = {978-2-9573777-5-6},
year  = {2024},
date = {2024-09-18},
booktitle = {Proceedings of the Driving Simulation Conference 2024 Europe VR},
pages = {153-160},
address = {Strasbourg, France},
organization = {Driving Simulation Association},
abstract = {The steering feel is a key component for a realistic driving experience in driving simulators with force feedback systems. Therefore, it’s necessary to generate a latency-free steering wheel torque, which depicts the real system behaviour. This publication presents a method how to generate a realistic steering feel for the on center area. The reduced steering model is extended with a neural network to build up a hybrid model that contains all necessary physical properties like the Lund-Grenoble friction model, cardan joints, inertias as well as the damping and friction forces on rack level. The parameters were identified through measurements with an electric power steering system on a test bench. The neural network adapts the physical model to depict the frequency dependence and parameter errors caused by inaccurate settings. The dataset, for the supervised learning approach, was measured by using a compact class vehicle with the same steering system as on the test bench and on-center driving maneuvers. The hyperparameters of the neural network are identified by using Bayesian optimization. This hybrid model structure helps to generate a more realistic steering torque and therefore maximizes the immersion in driving simulators.},
keywords = {},
}

Download .bib file

TY  - CONF
TI  - Optimization of the Steering Feel with Neural Networks for Force Feedback Systems
AU  - Dieing, Andreas
AU  - Baumann, Dr. -Ing. Gerd
AU  - Mehre, Kevin
AU  - Kehrer, Dr. -Ing. Martin
AU  - Reuss, Prof. Dr. Hans-Christian
C1  - Strasbourg, France
C3  - Proceedings of the Driving Simulation Conference 2024 Europe VR
DA  - 2024/09/18
PY  - 2024
SP  - 153
EP  - 160
LA  - en-US
PB  - Driving Simulation Association
SN  - 978-2-9573777-5-6
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2024/optimization-of-the-steering-feel-with-neural-networks-for-force-feedback-systems
ER  - 

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