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Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination

  • Houshyar Asadi
  • Arash Mohammadi
  • Shady Mohamed
  • Saeid Nahavandi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8836)

Abstract

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.

Keywords

cueing motion algorithm high pass filter tilt rate limit human sensation Fuzzy logic 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Houshyar Asadi
    • 1
  • Arash Mohammadi
    • 2
  • Shady Mohamed
    • 3
  • Saeid Nahavandi
    • 4
  1. 1.Researcher, Centre for Intelligent Systems ResearchDeakin UniversityAustralia
  2. 2.Researcher, Electrical Department, Engineering FacultyUniversity of MalayaMalaysia
  3. 3.Senior Research Fellow, Centre for Intelligent Systems ResearchDeakin UniversityAustralia
  4. 4.Director – Centre for Intelligent Systems ResearchDeakin UniversityAustralia

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