Research On Multi-Parameter Optimization Of Inclined Washout Motion In Limited Motion Space

The attitude change of the flight simulator is controlled by the six-degree-of-freedom platform below,and the cylinder expansion and contraction of the six-degree-of-freedom platform is determined by the washout algorithm.The quality of the washout algorithm directly affects the simulation fidelity of the flight simulator.The classic washout algorithm has fixed and conservative parameter settings,and the use of filters to extract motion signals has caused some signal loss and phase distortion,making the algorithm less adaptable to changing inputs,making it difficult for drivers to obtain more realistic motion perception.Reduced the motion hinting fidelity of the flight simulator.The simplified six-degree-of-freedom platform model,combined with the introduction of the human vestibular perception system model,analyzes and calculates the signal processing methods between the six-degree-of-freedom platform and the washout algorithm.Based on this,a model of the somatosensory simulation algorithm was established and modeled in Matlab.The influence of parameter changes on washout performance was analyzed,and it paved the way for subsequent optimization and improvement of the algorithm.Aiming at the problems of signal loss,phase error and insufficient fidelity in the perceptual angular velocity of the two-input classic washout algorithm in a flight simulator.This paper proposes a logic control washout algorithm.Based on the vestibular system theory,the classic washout algorithm is used to improve the high-pass angular velocity channel structure.A logic controller and an angular displacement continuous generator are designed to optimize the coupling angular velocity in the high-pass angular velocity channel and the tilt coordinated channel and stabilize the jump change.Washing out the angular displacement makes the improved algorithm more consistent with the human perception model.At the same time,the parameters of the classic somatosensory algorithm are fixed,and phase errors and false hints lead to low platform space utilization and insufficient somatosensory fidelity.Combined with the human vestibular system model,the classic algorithm's high-pass acceleration channel and tilt coordination channel structure were improved in turn.The parameter adaptive filter was designed to realize the real-time adjustment of the cutoff frequency under input changes,and the platform space utilization rate and platform displacement change rate were used as fuzzy controllers.The input is compensated to the branch of the band-pass filter.Finally,the displacement limiting is used to control the washing out effect.In order to improve the dynamic fidelity of the simulator.Finally,in combination with particle swarm optimization,based on the improvement of the structure of the classic somatosensory algorithm,the human body perception error is used as the objective function to optimize the filter parameters of the washout algorithm,and the classic algorithm,the classic algorithm using PSO optimization and its applications are compared and analyzed.Improved algorithm for PSO optimization.The results show that the elution algorithms optimized by PSO have achieved a better elution effect,while the improved algorithm has more obvious parameter enhancement and better parameter optimization performance.