Intelligent optimization Research of the Washout Algorithm for Flight Simulators

Abstract

The simulation fidelity of the flight simulator is affected by the pros and cons of the washout algorithm. Using the classical washout algorithm with fast feedback, simple structure, and easy adjustment, it is found that the choice of parameters directly impacts the perceived fidelity. ensure Based on the research on the problem of insufficient simulation effect caused by parameter selection, the author decided to analyze the perception error of the human vestibular system and combine it with the limitations of the flight simulator. Then, the intelligent optimization method combining genetic algorithm and particle swarm optimization is used to find the optimal filter parameters and carry out simulation analysis. The results show that the classical washout algorithm with optimized parameters can effectively use the platform space to reduce perceptual error and improve simulation fidelity.