Research On Intelligent Optimization Control Algorithm Based On 6-DOF Motion Platform

The six degree of freedom motion platform is widely used in many fields,such as flight simulation,entertainment facilities and industrial production.However,because of its small motion range and limited application in flight simulator,it cannot simulate the complete flight task.To solve this problem,we propose a washout algorithm to control the six degree of freedom motion platform,so that the platform can generate instantaneous mutation acceleration and use gravity component to simulate continuous acceleration.However,the existing washout algorithm has many shortcomings,such as lack of fidelity,low utilization rate and error suggestion.Therefore,a new optimized washout algorithm is designed based on the original algorithm combined with fuzzy logic.The characteristics of classic eluant algorithm,adaptive wash out algorithm and optimal wash out algorithm are analyzed and compared.The advantages of the algorithm,fuzzy logic control,re design the washout algorithm channel,the introduction of the negative feedback loop control,join the human perception system model,the platform margin and dynamic displacement human error as input fuzzy variables,fuzzy rules design,calculation of the output filter cutoff frequency,control three channel speed signal filtering,effects of platform motion.Modeling and simulation confirm the best parameters of classical washout algorithm,improve the initial value as algorithm,simulate and compare platform motion parameters,human motion fidelity and motion error before and after optimization.Combined with the platform structure parameters and SimMechanies tools,the dynamic simulation system model of the washing out algorithm based on six degrees of freedom motion platform is established in Simulink,and PID control is introduced to verify the dynamic simulation system with reference to static simulation parameters.The system is used to simulate the optimized after wash out algorithm and the classical washing out algorithm,and the observation of two kinds of calculation is used.The control effect of the method in the application of the dynamic model is analyzed,and the improvement effect and the existing problems of the optimization algorithm are analyzed.It is concluded that the speed channel of the new design avoids the loss of the speed signal and eliminates the error hints caused by the phase error.Adding the human perception system model improves the simulation authenticity,enhances the motion perception and optimizes the effect of the wash out control.By adding negative feedback and fuzzy control,real time dynamic adjustment of algorithm parameters improves the utilization rate of platform space,avoids the overrun accident of platform movement,optimizes the following motion and reduces the dynamic error.The design of the washing out algorithm dynamic simulation system is convenient for the study of the washing out algorithm,and it is suitable for various algorithms of different platforms.The simulation effect is more realistic,and it is easy to observe the influence of the washout algorithm on motion control.It improves the efficiency of the washout algorithm and saves the cost of experimental verification,which has a reference significance for the control of the six degree of freedom platform in the future.