Design Of Vertical Control System Of Air Floating Table And Adjustment System Of Upper Platform

With the pace of human exploration of the vast universe,China's space industry has also accelerated its development.In recent years,various spacecrafts that have met various needs have been successfully launched one after another,marking that our country is moving towards a space power.However,the main characteristics of the space industry are the difficulty and the high risk.Therefore,the pursuit of higher stability and more durable use of spacecraft will always be an inexhaustible motive force for astronauts.Therefore,before the launch of the spacecraft,it is necessary to conduct a comprehensive evaluation of the system scheme through ground simulation experiments with different functions.Therefore,a full-physics simulation platform on the ground,a six-degree-offreedom air floating platform,came into being.In order to achieve a more ideal simulation effect,shorten the preparation time before ground simulation,and ensure the accuracy and stability of the simulation process,the vertical control system of the 6-degree-offreedom air floating platform and the center of mass adjustment and attitude stability control system of the upper platform are now available Carry out research and design,adopt excellent control laws,and achieve ideal control results.First,model and analyze the electric proportional pressure regulator to verify the feasibility of the vertical air cavity control,and then model the vertical control air cavity to obtain the vertical control model.For the current single valve control scheme The problem of poor control effect is improved by using dual valve segmented control;then on the basis of traditional PID control,fuzzy quantity and intelligent control algorithm(ant colony algorithm)are added to optimize PID parameter difficult to set and make simulation verification.Secondly,at the initial stage of ground simulation,the inconsistency between the center of mass of the upper platform and the air ball bearing is adjusted and controlled.First,the kinematics and dynamics equations of the center-of-mass model of the upper platform are established,and then the position of the center of mass is calculated by the dynamic equations,and then the position of the center of mass is controlled in a closed loop.The mass slider is used as an actuator to realize the coincidence of center of mass again.Then,BP neural network and RBF neural network are used to optimize the traditional PID algorithm,which solves the problem of difficult parameter setting of the traditional PID algorithm and is verified by simulation.Finally,the stabilization control of the upper stage is studied.The dynamic equations were established for the upper platform controlled by jet thruster and flywheel,respectively,and then the feasibility analysis and research of the control scheme of the upper platform when performing large-angle rotation and fine-tuning of the attitude were carried out,and then the appropriate control law was adopted and the Simulation.