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A particle swarm optimization-based washout filter for improving simulator motion fidelity

Asadi, Houshyar, Mohammadi, Arash, Mohamed, Shady, Lim, Chee Peng, Khatami, Amin, Khosravi, Abbas and Nahavandi, Saeid 2017, A particle swarm optimization-based washout filter for improving simulator motion fidelity, in SMC 2016 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, N.J., pp. 1963-1968, doi: 10.1109/SMC.2016.7844527.

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Title A particle swarm optimization-based washout filter for improving simulator motion fidelity
Author(s) Asadi, HoushyarORCID iD for Asadi, Houshyar orcid.org/0000-0002-3620-8693
Mohammadi, Arash
Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Khatami, Amin
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name Systems, Man and Cybernetics. IEEE International Conference (2016 : Budapest, Hungary)
Conference location Budapest, Hungary
Conference dates 9-12 Oct. 2016
Title of proceedings SMC 2016 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics
Editor(s) [Unknown]
Publication date 2017
Conference series Systems, Man and Cybernetics IEEE International Conference
Start page 1963
End page 1968
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) particle swarm optimization
washout filter
motion cueing algorithm
human sensation
Summary The washout filter for a driving simulator is able to regenerate high fidelity vehicle translational and rotational motions within the simulator's physical limitations and return the simulator platform back to its initial position. The classical washout filter provides a popular solution that has been broadly utilized in different commercial simulators due to its simplicity, short processing time, and reasonable performance. One limitation of the classical washout filter is its sub-optimal parameter tuning process, which is based on the trial-and-error method. This leads to an inefficient workspace usage and, consequently, generation of false motion cues that lead to simulator sickness. Ignorance of a human sensation model in its design is another drawback of classical washout filters. The purpose of this study is to use Particle Swarm Optimization (PSO) to design and tune the washout filter parameters, in order to increase motion fidelity, decrease the human sensation error, and improve efficiency of the workspace usage. The proposed PSO-based washout filter is designed and implemented using the MATLAB/Simulink software package. The results indicate the effectiveness of the PSO-based washout filter in reducing the human sensation error, increasing the capability of reference shape tracking, and improving efficiency of the workspace usage.
ISBN 9781509018970
Language eng
DOI 10.1109/SMC.2016.7844527
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30093504

Document type: Conference Paper
Collection: Institute for Frontier Materials
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