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Research Papers

Motion Cueing Algorithm Online Parameter Switching in a Blink of an Eye—A Time-Variant Approach

[+] Author and Article Information
Tobias Lorenz, Klaus Jaschke

Frank Köster

German Aerospace Center (DLR),  Institute of Transportation Systems (TS), Lilienthalplatz 7, 38108 Braunschweig, Germanyfrank.koester@dlr.de

J. Comput. Inf. Sci. Eng 11(4), 041002 (Sep 13, 2011) (5 pages) doi:10.1115/1.3617444 History: Received July 28, 2010; Revised June 17, 2011; Published September 13, 2011; Online September 13, 2011

The development and evaluation of human centered driver assistance systems is one major research focus within the automotive domain of the Institute of Transportation Systems (TS) at the German Aerospace Center (DLR). To investigate the impact of new driver assistance systems on driver behavior different research facilities from simulations to real car environments are used. One research facility at TS is the dynamic driving simulator with a hexapod structure. Using dynamic driving simulators to reproduce real car motion is a major challenge as the workspace is limited. Within this paper a method of state adaption is presented. This method enables a discrete switching of high-pass filter corner frequencies within one single simulation time step. Thereby discontinuities of the filter output signal as well as in the derivatives of the output signal are avoidable. Thus, it is possible to adapt corner frequencies of high-pass filters of a Motion Cueing Algorithm (MCA), according to the current driving situation. The paper starts with a description of the MCA currently used for the motion rendering at TS. Afterward the state adaption method is described including the challenges for adapting this method to the current MCA structure. In the end of the new structure for the time-variant MCA as well as the boundary conditions for corner frequency switching and the test results of the new time-variant approach using the state adaption method are outlined.

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Copyright © 2011 by American Society of Mechanical Engineers
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Figures

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Figure 1

Block diagram of the initial FTC structure

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Figure 2

Common principle of the state adaption method

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Figure 3

Block diagram of the new structure of time-variant FTC algorithm

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Figure 4

Comparison of the initial time-variant FTC structure and the new time-variant FTC structure

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Figure 5

Comparison of the initial time-invariant FTC structure and the new time-variant FTC structure

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