论文信息 - Motion Cueing in the Chalmers Driving Simulator : An Optimization-Based Control Approach

Motion Cueing in the Chalmers Driving Simulator : An Optimization-Based Control Approach

This paper suggests a new motion cueing strategy. Based on receding horizon control, it is expected to allow a better exploitation of the workspace when compared to the conventional motion cueing algorithms, due to constraint monitoring. The human sensorial system was used as the internal model of the controller. It allows the formulation of the control goal as the minimization of the error between the sensed signals in a vehicle and the ones on the driving simulator. Different methods for reference generation were considered, and from these distinct controllers were developed. Their performances were evaluated and the best was compared against a washout filter, yielding good results.

B. Augusto

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