An optimal washout filter design for a motion platform with senseless and angular scaling maneuvers

The motion cueing algorithms are often applied in the motion simulators. In this paper, an optimal washout filter, taking into account the limitation of the simulator's workspace, is designed for the motion platform aiming to minimize human's perception error in order to provide realistic behavior. The filtering algorithm compares the human's perception of driving simulated vehicles realized by the motion platform with that obtained based on the human vestibular model. Then, a cost function accounting for the pilot's sensation error and the range of platform motion is being minimized in the sense that more realistic motion and more efficient usage of the limited workspace can be successfully achieved. Finally, the simulation results verify the claimed efficient utilization of platform workspace for task running and less sensation error compared to that obtained by the classical washout filter.