Research on Improvement and Optimization of Washout Algorithm for Moving Platform Navigation Simulator

In order to provide a better motion sensation in a limited motion space for a Navigation simulator with a six-degree-of-freedom motion platform, an improved wash algorithm and particle swarm optimization algorithm were used to simulate the acceleration motion sensation of a speedboat. In the process of somatosensity simulation, the washing algorithm was improved by adding the frequency limiting link and changing the coordinate transformation link, and the classical washing algorithm was optimized by particle swarm optimization algorithm (PSO). The simulation analysis of the improved washing algorithm is carried out through Simulink, and the results show that the improved algorithm has higher acceleration signal extreme value and shorter time to zero speed. The results show that the improved washing algorithm can simulate better motion-sensing signals in a smaller moving space, improve the fidelity and safety of the moving platform Navigation simulator, and has certain engineering practical value.