In the last years the interest about dynamic driving simulators is increasing and new commercial solutions are arising. One of the most debated and difficult problem is the motion cueing strategy , i.e. a strategy to give the driver the most realistic perception using the acceleration of the mechanical system. In this paper we exploit a novel direction in the motion cueing design based on Model Predictive Control techniques combined with the modeling of the human perceptive sensors. We propose an ad hoc implementation of the MPC algorithm designed to handle the typical difficulties of a motion cueing strategy, i.e. limited working space, conflicting cues and tilt coordination. The procedure is developed to take advantage of a virtual driver to predict trajectories and enhance performance.
Study on the Next Generation Motion Cueing for Driving Simulators
BEGHI, ALESSANDRO;BRUSCHETTA, MATTIA;MARAN, FABIO;
2011
Abstract
In the last years the interest about dynamic driving simulators is increasing and new commercial solutions are arising. One of the most debated and difficult problem is the motion cueing strategy , i.e. a strategy to give the driver the most realistic perception using the acceleration of the mechanical system. In this paper we exploit a novel direction in the motion cueing design based on Model Predictive Control techniques combined with the modeling of the human perceptive sensors. We propose an ad hoc implementation of the MPC algorithm designed to handle the typical difficulties of a motion cueing strategy, i.e. limited working space, conflicting cues and tilt coordination. The procedure is developed to take advantage of a virtual driver to predict trajectories and enhance performance.Pubblicazioni consigliate
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