Design of Intelligent Washout Filtering Algorithm for Water and Land Tank Motion Simulation

Bo, Wu; Yu, Xinquan; Li, Jianying; Han, Guo-Niu

doi:10.1109/ihmsc.2009.131

Cited by 2 publications

(1 citation statement)

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“…However, the fixed gain parameters lead to miss some data of the vehicle dynamics. According to occurrence, the algorithm generates false motion cues making unrealistic movement [7,[12][13][14][15][16][17][18]. Adaptive washout filter was modified from the classical washout filter.…”

Section: Introductionmentioning

confidence: 99%

Central Nervous System (CNS) Based Motion Control

Prasertmanakit¹,

Wannasuphoprasit²

2019

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Motion simulators are widely used in several applications ranging from research to commercial training and entertainment in order to replicate real movement situation. These motions can be sensed by human perception organ called Central Nervous System (CNS). This research presents a novel control algorithm called Central Nervous System (CNS) based control that aims to create realistic perception of vehicle simulation. CNSbased motion control was evaluated by computer simulation to classical, adaptive and optimal washout filter. In addition, comparisons of human motion perception are performed on Force Dynamics 301 simulator for longitudinal acceleration driving test of all four washout filters. The subjects were seated in the simulator. Their motion perceptions were measured through vestibulo-ocular reflex (VOR) using EyeSeeCam vHit camera and compared to the estimated VOR from CNS model. The results revealed that CNS-based motion control can crucially reduce the workspace and provide realistic motion sensation.

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