Research On Location Control Algorithm Based On Air Suspension Platform

The air suspension platform is one of the four most widely used suspension platforms(air suspension,magnetic levitation,electrostatic suspension and hot suspension).The platform produces a air gap in the process of work,making the controlled object in suspension state.Compared with the traditional contact type,the platform has low pollution,no friction,little fever,no magnetic,operation.The speed is fast,the acceleration is big and so on.These are very important for the growing production and manufacturing,especially in the areas of high demand for control precision,fine control action,and diversified chip manufacturing,microelectronics,semiconductors and Internet,which cannot meet the control requirements.The driving part of the air suspension platform adopts a linear motor,which has no restriction on the centrifugal force and has a greater speed and acceleration compared with the rotating motor.It saves the middle transmission device to make the motor simple,and can be applied in the environment where the traditional motor is unable to work.This research is aimed at the location control algorithm of porous gas suspension platform under high speed and high acceleration,including the following aspects:1.Introduces the structure principle and research status of the porous air suspension platform,the principle,structure and research status of the linear motor,the research status of the control algorithm of the linear motor and the comparison of the advantages and disadvantages of the linear motor,which is the basis for the research of the back control algorithm.2.The hardware and software hardware experiment platform is built.The main hardware selection is as follows: the driving part of the platform adopts the linear motor,the motion control system adopts the motion control card,the position feedback device adopts the grating ruler and so on.The servo control system of the platform is designed,which uses position loop,speed loop and current loop three closed loop control.The mathematical model of linear motor is established,and the simulation model of linear motor is obtained through MATLAB/SIMULINK.3.First,the traditional PID algorithm is used to control the position loop,speed loop and current loop of the servo control system,and the control waveform is obtained through the simulation of MATLAB/SIMULINK.Then the intelligent PID(fuzzy PID)control algorithm for the speed loop is studied.Through the comparison and analysis of the simulation results of the two algorithms,the intelligent PID algorithm has improved the response speed,overshoot and steady state error,but the system still has a large overshoot,and the anti-interference ability is not enough.4.In view of the shortage of large overshoot and weak anti-interference ability in the previous control research,the research of speed loop improved intelligent PID(fuzzy PID based on BP neural network)is proposed.Through the Simulation of MATLAB/ SIMULINK,the improved intelligent PID control waveform is obtained.The comparison analysis shows that the time of the system is reduced from the beginning of the disturbance to the recovery,and the stability and anti-interference are improved.5.Through the research of the front control algorithm,we completed the control experiment of the air suspension platform on the built up hardware and software platform of the pneumatic suspension.The programming of control system is realized by means of PEWIN32-PRO software,and the precise control under different control algorithms of platform is realized.By comparing and analyzing the experimental results,the response time,the control accuracy and the anti-interference ability of the platform are improved.