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A particle swarm optimization-based washout filter for improving simulator motion fidelity
conference contribution
posted on 2017-02-06, 00:00 authored by Houshyar AsadiHoushyar Asadi, Arash Mohammadi, Shady MohamedShady Mohamed, Chee Peng LimChee Peng Lim, Seyedamin Khatami, Abbas KhosraviAbbas Khosravi, Saeid NahavandiThe 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.
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Event
Systems, Man and Cybernetics. IEEE International Conference (2016 : Budapest, Hungary)Pagination
1963 - 1968Publisher
IEEELocation
Budapest, HungaryPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2016-10-09End date
2016-10-12ISBN-13
9781509018970Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2016, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
SMC 2016 : Proceedings of the IEEE International Conference on Systems, Man, and CyberneticsUsage metrics
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