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An optimal washout filter based on genetic algorithm compensators for improving simulator driver perception

Asadi, Houshyar, Mohamed, Shady, Nelson, Kyle, Nahavandi, Saeid and Oladazimi, Maysam 2015, An optimal washout filter based on genetic algorithm compensators for improving simulator driver perception, in DSC 2015 : Proceedings of the Driving Simulation Conference & Exhibition, Max Planck Institute for the Advancement of Science, Munich, Germany, pp. 1-10.

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Title An optimal washout filter based on genetic algorithm compensators for improving simulator driver perception
Author(s) Asadi, HoushyarORCID iD for Asadi, Houshyar orcid.org/0000-0002-3620-8693
Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Nelson, KyleORCID iD for Nelson, Kyle orcid.org/0000-0003-1956-5493
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Oladazimi, Maysam
Conference name Driving Simulation. Conference & Exhibition (2015 : Tübingen, Germany)
Conference location Tübingen, Germany
Conference dates 16-18 Sep. 2015
Title of proceedings DSC 2015 : Proceedings of the Driving Simulation Conference & Exhibition
Publication date 2015
Conference series Driving Simulation Conference & Exhibition
Start page 1
End page 10
Total pages 10
Publisher Max Planck Institute for the Advancement of Science
Place of publication Munich, Germany
Keyword(s) motion cueing algorithm
GA
washout filter
human sensation
Summary A simulator motion platform cannot exactly reproduce the longitudinal and rotational motionsexperienced in a real vehicle as it is constrained by its physical limits. The aim of this research is to provide anoptimal Motion Cueing Algorithm (MCA) that can generate the most realistic motions and high fidelity vehicleaccelerations and angular velocities, within the simulator’s physical limitations. The optimal washout filter basedon Linear Quadratic Regulator (LQR), which takes the recent vestibular system mathematical model andsimulator motion in to account, has been proposed to constrain the human perception error between the simulatorand real driving, within the limits of the platform motion. This paper presents a new strategy based on optimalcontrol theory and the Genetic Algorithm (GA) to reproduce a signal that can closely follow the reference signaland avoid false motion cues. An optimization method for adjusting the obtained optimal washout filter transferfunctions, based on genetic algorithms is used. Three additional compensatory linear blocks are integrated intothe LQR-based optimal washout filter, to be tuned based on GA in order to modify the performance of the filtersand minimize the fitness value if increasing the order is required. This is achieved by taking a series of factorsinto account, including: the vestibular sensation error between real and simulated cases; the human thresholdlimiter in tilt coordination; the human sensation error fluctuation; and cross correlation coefficient; where the effectsof these aspects have been previously ignored. The proposed optimized motion cueing algorithm based oncompensators using GA is implemented in the MATLAB/Simulink software packages. The results show thesuperiority of the proposed method due to its better increased performance, enhanced motion fidelity, improvedhuman sensation, and reduced workspace usage compared to previous optimal washout filters.
Language eng
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category EN.1 Other conference paper
Copyright notice ©2015, Max Planck Institute for the Advancement of Science
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089401

Document type: Conference Paper
Collection: Institute for Frontier Materials
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