Research On The Synthetic Fuzzy Control Of Linear Synchronous Motor Magnetic Levitation System

The linear synchronous motor maglev feed platform has the characteristics of direct drive and direct suspension,which has important research significance for the development of modern precision machining field.Under the background of the project of National Natural Science Foundation of China: "Research on Operation Mechanism and Control Strategy of Controllable Excited Linear Synchronous Motor Maglev Feed Platform(Project Approval No.:51575363)",this project mainly studies the motion mechanism of Controllable Excited Linear Synchronous Motor and the control problem of Maglev subsystem under the action of uncertain external disturbance.The main research contents of this paper are as follows:(1)Research on control of linear synchronous motor excitation structure,working mechanism and mathematical model.Under d-q synchronous rotating coordinate system to establish a controllable excitation linear synchronous motor mathematical model,analytical expressions of electromagnetic thrust feed direction is derived,the motion equation and state equation;Method is derived to the analytical expression of the electromagnetic force and the direction of the suspension movement equation and the equation of state;Analysis the main factors influencing the two electromagnetic force;For the feed system and electromagnetic coupling problem between the suspension system are analyzed.(2)The controllable synthesis fuzzy linear synchronous motor excitation controller design.Aiming at the problems that the fuzzy PID controller has three input single output language variables and too many control rules,which makes the debugging difficult,this paper proposes a synthetic fuzzy controller based on fuzzy PD and fuzzy integral to control the motor.Finally,compared with the traditional fuzzy PID controller,it is proved that the system has good dynamic response and fast tracking performance and high precision.In addition,when the disturbance appears in the system,the synthetic fuzzy controller can quickly eliminate the disturbance.Have good ability to suppress external disturbances.(3)With gain adjustment mechanism of self-learning fuzzy controller design.In order to further improve the control precision and anti-interference ability of the maglev system,design of self-learning fuzzy controller and analyzes the working principle of each unit,the selection principle of reference model,analyses the principle and realization method of learning mechanism,then build the maglev self-learning fuzzy control system simulation model,The robustness of the control system,a study on the simulation and tracking ability of anti-interference.