Incorporating human perception with the motion washout filter using fuzzy logic control

Asadi, Houshyar, Mohamed, Shady and Nahavandi, Saeid 2015, Incorporating human perception with the motion washout filter using fuzzy logic control, IEEE-ASME Transactions on Mechatronics, vol. 20, no. 6, pp. 3276-3284, doi: 10.1109/TMECH.2015.2405934.

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Title Incorporating human perception with the motion washout filter using fuzzy logic control
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
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name IEEE-ASME Transactions on Mechatronics
Volume number 20
Issue number 6
Start page 3276
End page 3284
Total pages 9
Publisher IEEE
Place of publication Champaign, Ill.
Publication date 2015-12-01
ISSN 1083-4435
1941-014X
Keyword(s) Science & Technology
Technology
Automation & Control Systems
Engineering, Manufacturing
Engineering, Electrical & Electronic
Engineering, Mechanical
Engineering
Classical
fuzzy logic
human sensation
motion cueing algorithm
vestibular system
washout filter
SIMULATOR
DESIGN
ALGORITHMS
MODEL
Summary Abstract—Nowadays, classical washout filters are extensively used in commercial motion simulators. Even though there are several advantages for classical washout filters, such as short processing time, simplicity and ease of adjustment, they have several shortcomings. The main disadvantage is the fixed scheme and parameters of the classical washout filter cause inflexibility of the structure and thus the resulting simulator fails to suit all circumstances. Moreover, it is a conservative approach and the platform cannot be fully exploited. The aim of this research is to present a fuzzy logic approach and take the human perception error into account in the classical motion cueing algorithm, in order to improve both the physical limits of restitution and realistic human sensations. The fuzzy compensator signal is applied to adjust the filtered signals on the longitudinal and rotational channels online, as well as the tilt coordination to minimize the vestibular sensation error below the human perception threshold. The results indicate that the proposed fuzzy logic controllers significantly minimize the drawbacks of having fixed parameters and conservativeness in the classical washout filter. In addition, the performance of motion cueing algorithm and human perception for most occasions is improved.
Language eng
DOI 10.1109/TMECH.2015.2405934
Field of Research 090602 Control Systems, Robotics and Automation
0906 Electrical And Electronic Engineering
0910 Manufacturing Engineering
0913 Mechanical Engineering
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080092

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
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