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Study On Motion Optimization Of Flight Simulator With Six Degrees Of Freedom Platform Washing

Posted on:2021-03-24Degree:MasterType:Thesis
Country:ChinaCandidate:W Z LiFull Text:PDF
GTID:2392330647967485Subject:Transportation engineering
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With the continuous development of the aviation industry,simulators and pilot training are becoming more and more inseparable,and the requirements for the real feeling of simulation training are getting higher and higher.Flight simulator as an important equipment for civil aviation pilots,can constantly reproduce the actual environment in limited space,compared with the real aircraft simulator required cost is lower,and safe and reliable,can be used flexibly.Because the flight simulator motion space is limited,the platform wash out the motion for the acceleration of the re-realization aircraft in the process of continuous flight attitude change,that is,the motion simulation of the realism has a great impact.In this paper,the pilot in training five-sided flight pitch,yaw,rolling and other postures,focusing on the selection of washing out parameters to optimize the washing out algorithm,in order to control the support rod parts in time according to the corresponding speed,acceleration changes,so that the six-degree freedom platform can give the pilot a more realistic sense of motion,especially the acceleration of the straight line and angular velocity feeling.First,the platform structure of six degrees of freedom is analyzed,the appropriate coordinate system is established for its kinematic analysis,the velocity transformation matrix is derived from the geometry and the corresponding anti-solution calculation is carried out,and the results of the subsequent simulation are compared,and then the electric rod is modeled,the relationship between acceleration and velocity is analyzed,the velocity transformation matrix is deduced,and the interrelation is understood.Then the analysis compares the classical wash-out algorithm and adaptive wash-out algorithm,under the basis of the human perception system model,the low-pass channel of the classical wash-out algorithm uses the components of gravity to tilt the platform at a small angle as the external force to simulate the feeling of continuous acceleration.Then the simulation model is established on Matlab's Simulink for simulation verification,the pilot's pitch and yaw ratio signal in the five-sided flight training state is entered,the difference of acceleration and angular velocity is analyzed and compared,the simulation results of line displacement and angular displacement are obtained,the advantages and disadvantages are verified and analyzed,and a suitable set of classical wash out algorithm parameters is selected to compare with the optimized parameters according to the simulation results.Finally,the systematic analysis of the influencing factors found that the effect of the filter parameters is still large,under the model of human perception system,based on the genetic algorithm to establish the target function,using Matlab's genetic algorithm toolbox to set optimization conditions and then search for global optimal parameters,and then the cut-off frequency and damping ratio parameters to optimize the selection,so that the pilot in the flight simulator generated feeling and real flight sensory error as much as possible to reduce the use of genetic algorithm to maximize the space utilization of the motion platform.Finally,according to the input specific force signal,simulate the yaw state of the five-sided flight pitch,and use Simulink to build a model and compare the results of the classic washout algorithm.The results show that the optimized speed is significantly faster,and the response speed is better,returning to the median The speed is greatly increased;the angular acceleration is also faster than before,which improves time and efficiency,making the pilot's feeling more realistic and the effect felt more real.
Keywords/Search Tags:Flight Simulator, Six Degrees of Freedom Platform, Classic Wash-out Algorithm, Simulation Analysis, Parameter Optimization
PDF Full Text Request
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