Actuation Strategy for a New Driving Simulator Setup

Alina Capustiac; Michael Unterreiner; Dieter Schramm

doi:10.4028/www.scientific.net/SSP.166-167.109

Paper Titles

Specific Mechanisms for Construction Mobile Robots
p.83

Social Interaction in Systems of Humans and Mobile Robots
p.89

Software System for Mechanism and Robot Simulation
p.95

Some AI Based Approaches on Mobile Robots Motion Planning
p.101

Actuation Strategy for a New Driving Simulator Setup
p.109

Wearable Exerciser
p.115

Scaled Experimental Stand for Testing Control Algorithms on Brake Systems with Anti-Lock Capability
p.121

3D Control for a Truncated Cone Tentacle Kinematics
p.127

Modeling and Analysis of Soccer Robot Tasks Using Generalized Stochastic Petri Nets
p.133

HomeSolid State PhenomenaSolid State Phenomena Vols. 166-167Actuation Strategy for a New Driving Simulator...

Actuation Strategy for a New Driving Simulator Setup

Abstract:

This paper focuses on the actuation strategy of an active driving simulator and its validation using experimental driving data. The simulator combines the simulation of both the road characteristics and the vehicle dynamics into a single architecture. The goal is to combine actual road excitation signals with imposed vehicle movements to create a realistic driving experience.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Solid State Phenomena (Volumes 166-167)

Pages:

109-114

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.166-167.109

Citation:

Cite this paper

Online since:

September 2010

Authors:

Alina Capustiac, Michael Unterreiner, Dieter Schramm

Keywords:

Driving Simulator, Inverse Dynamics, Real-Time Simulation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] B., Hesse, G., Hiesgen, T. Brandt and D. Schramm: A Driving Simulator as a Tool for the early Characteristics Validation of Human-Centered Mechatronic Systems, Proceedings of VDI Mechatronik, (2009).

Google Scholar

[2] R. McCann, S. Nguyen: System Identification for a Model-Based Observer of a Road Roughness Profiler, IEEE Technical Conference, Fayetteville, (2007), pp.336-343.

DOI: 10.1109/tpsd.2007.4380331

Google Scholar

[3] J.D. Robson: Road surface description and vehicle response, International Journal of Vehicle Design, (1979), pp.25-35.

Google Scholar

[4] B.R. Davis, A.G. Thompson: Power spectral density of road profiles, Vehicle System Dynamics, (2001), pp.409-415.

DOI: 10.1076/vesd.35.6.409.2039

Google Scholar

[5] A. Hac: Adaptive control of vehicle suspension, Vehicle System Dynamics, (1987), pp.54-57.

Google Scholar

[6] P. Gaspar, L. Nadai: Parameter Estimation of Coupled road-Vehicle Systems, Proceedings of IEEE International Workshop on Soft Computing Applications, (2007), pp.199-204.

DOI: 10.1109/sofa.2007.4318329

Google Scholar

[7] A. Capustiac, C. Brisan: Aspects Concerning Development of the Hybrid Road and Driving Simulator, Proceedings of the 10 th IFTOMM International Symposium on Science of Mechanisms and Machines, (2009).

DOI: 10.1007/978-90-481-3522-6_22

Google Scholar