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

Aiming at the matter of incompatible problem between workspace limiting and motion simulation fidelity, based on BP neural network theory, a kind of intelligent washout filter algorithm was designed, and simulation research was done combining water and land tank typical motion conditon of working. Research results showed that intelligent washout filtering algorithm improved the simulator workspace using efficiency and motion simulation reality greatly comparing with classical washout filtering algorithm. A kind of efficient method was presented for realized motion simulation of high fidelity within simulator limited workspace, and have reference significance for other kinds of motion simulator implementing simulaiton of high fidelity.

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