Research Papers

Applied Motion Cueing Strategies for Three Different Types of Motion Systems

[+] Author and Article Information
Martin Fischer, Håkan Sehammar, Göran Palmkvist

 Swedish National Road and Transport Research Institute, Olaus Magnus väg 35, SE-581 95 Linköping, Sweden

J. Comput. Inf. Sci. Eng 11(4), 041008 (Dec 06, 2011) (10 pages) doi:10.1115/1.4005454 History: Received August 09, 2011; Revised November 04, 2011; Published December 06, 2011; Online December 06, 2011

Simulators with motion systems are used to give the driver a motion feedback. The type of the motion system and its related motion envelope is a major factor for the ability to present certain motion cues. This paper describes algorithms for three types of motion systems with the focus on a new algorithm for 8-degree-of-freedom systems. As new features compared to other algorithms for this type of motion system consequent complementary splitting into low-, mid-, and high-frequent signals and cross-system washout compensation are introduced. Parameter tuning effects according to washout and signal splitting filter frequency variations are shown and analyzed.

Copyright © 2011 by American Society of Mechanical Engineers
Topics: Motion , Signals , Algorithms
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Figure 14

Scaled vehicle accelerations compared to the resulting output signals generated by the 6-DOF and the 8-DOF motion cueing algorithm for different types of roads and manoeuvres

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Figure 1

VTI Sim III 3-DOF motion system (pitch, roll + surge or sway)

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Figure 2

VTI’s road related motion cueing algorithm

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Figure 3

DLR 6-DOF motion system (hexapod)

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Figure 4

Fast tilt coordination algorithm

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Figure 5

Timing error (left) versus tilt rate error (right) for the classical washout algorithm with and without tilt rate limit (CW* = unlimited).

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Figure 6

VTI Sim IV 8-DOF motion system (hexapod + xy-sled)

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Figure 7

Presentation of longitudinal acceleration and pitch velocity with the 8-DOF MCA

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Figure 8

Principles of the frequency-splitting using a hexapod (Hx) and a sled system (Sd) as well as the tilt-coordination (TC) technique for the presentation of longitudinal accelerations (see Fig. 7)

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Figure 9

Accelerations due to translational movements of the Hx, sled movements (Sd) and the TC technique in order to resemble a step from 0 to 1.5 m/s2 . Important parameter which characterize the acceleration signals are marked at the sled acceleration curve.

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Figure 10

Presentation of lateral acceleration and roll velocity with the 8-DOF MCA

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Figure 11

Presentation of vertical acceleration and yaw velocity with the 8-DOF MCA

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Figure 12

Full throttle and moderate longitudinal accelerations; Signal presentation split between translational hexapod motion (up), sled motion (middle), and tilt coordination (low)

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Figure 13

Lateral accelerations on a straight and a curvy road; Signal presentation split between translational hexapod motion (up), sled motion (middle), and tilt coordination (low)




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