Adaptive translational cueing motion algorithm using fuzzy based tilt coordination

Asadi,H, Mohammadi,A, Mohamed,S and Nahavandi,S 2014, Adaptive translational cueing motion algorithm using fuzzy based tilt coordination. In Loo,CK, Yap,KS, Wong,KW, Teoh,A and Huang,K (ed), , Springer, Berlin, Germany, pp.474-482, doi: 10.1007/978-3-319-12643-2_58.

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Title Adaptive translational cueing motion algorithm using fuzzy based tilt coordination
Author(s) Asadi,HORCID iD for Asadi,H
Mohamed,SORCID iD for Mohamed,S
Nahavandi,SORCID iD for Nahavandi,S
Editor(s) Loo,CK
Publication date 2014
Series Lecture notes in computer science ; v.8836
Chapter number 58
Total chapters 83
Start page 474
End page 482
Total pages 9
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) Cueing motion algorithm
Fuzzy logic
High pass filter
Human sensation
Tilt rate limit
Science & Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
Summary Driving simulators have become useful research tools for the institution and laboratories which are studying in different fields of vehicular and transport design to increase road safety. Although classical washout filters are broadly used because of their short processing time, simplicity and ease of adjust, they have some disadvantages such as generation of wrong sensation of motions, false cue motions, and also their tuning process which is focused on the worst case situations leading to a poor usage of the workspace. The aim of this study is to propose a new motion cueing algorithm that can accurately transform vehicle specific force into simulator platform motions at high fidelity within the simulator’s physical limitations. This method is proposed to compensate wrong cueing motion caused by saturation of tilt coordination rate limit using an adaptive correcting signal based on added fuzzy logic into translational channel to minimize the human sensation error and exploit the platform more efficiently.
ISBN 9783319126425
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-319-12643-2_58
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer
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