Motion-based driving simulators are designed to render accelerations perceived as realistic, while keeping the motion system within its physical limits. These objectives are generally contradictory, and consequently motion control strategies are difficult to customize for different simulator configurations. In this paper, a novel approach is presented for the design of motion rendering strategies, using the model-based predictive control theory. Compared to traditional cueing techniques, actuator constraints are always respected, and the use of motion workspace is maximized during simulations. Models of human motion perception can be integrated to reduce sensory conflicts. A practical implementation on a high-performance automotive driving simulator is presented.


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    Title :

    Model-based predictive motion cueing strategy for vehicle driving simulators


    Additional title:

    Modellbasierte prädiktive Motion-Cueing-Strategie für Fahrzeugsimulatoren


    Contributors:

    Published in:

    Control Engineering Practice ; 17 , 9 ; 995-1003


    Publication date :

    2009


    Size :

    9 Seiten




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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