Modeling and identification of 2 DOF low cost platform for driving simulator: Experimental results

This paper deals with modeling, control and identification issues of 2 degrees of freedom (DOF) low cost driving simulator validated by experimental results with a human in the loop. A first study, dealing with choices of the platform´s motion, has conducted us to an original architecture allowing the restitution of longitudinal and yaw movements based mechanics. To better immerse the driver in the virtual world and stimulate his perception, a haptic feedback steering wheel is be implemented to assist the human in driving. The present motion platform is designed to help psychophysicists to assess the effects of yaw components on the simulator sickness. Experimental studies were carried out to devise a characterization of the platform capabilities, frequency responses and for classical drive operation. Conclusion and future works are given.