The control of two-wheeled vehicles represents a challenging task. Indeed the stability of a bike is characterized by vibration modes which significantly change their behaviour with speed and acceleration and may become unstable under certain motion condition. This paper presents a virtual rider model which accounts for these effects by updating at each instant the control action, based on the information of the approaching road section and the current vehicle state. This approach mimics the real rider behaviour, which looks ahead, learning a portion of the track, continuously using this information to decide when/how to steer and accelerate. As an example of application, the virtual rider is used to reproduce a lap of the Mugello circuit (Italy): the real motorcycle speed and roll angle are used as target motion by the virtual rider, which effectively controls the vehicle with longitudinal acceleration up to 1 g and roll angle up to 50°. (Author/publisher) For this paper, other papers and posters presented at this Symposium see http://bicycle.tudelft.nl/bmd2010/
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