Optimal Design Of Active Disturbance Rejection Control For Linear Synchronous Motor

The content of this research topic is based on the national natural science foundation project"Study on Operation Mechanism and Control Strategy of Controllable Excitation Linear Synchronous Motor Maglev Feeding Platform"as the main body.Analysing the model structure and operation mechanism of linear synchronous motor magnetic suspension feed system,according to the existing problems in the system.And the intelligent controller technology is used to improve these problems.The specific contents are as follows:(1)In order to solve the problems of intermediate links and friction in the traditional feed system,a feed system based on linear synchronous motor magnetic suspension is used.According to the operation mechanism of the motor,a mathematical model is established in the d-q synchronous rotation coordinate system,and the mathematical model is reasonably simplified with the emphasis of the subject.The linear synchronous motor is decomposed into a horizontal feed subsystem and a suspension subsystem.And the i_d=0 control strategy is adopted,as much as possible to weakening magnetic field coupling in linear synchronous motors.That will pave the way for the analysis of the horizontal feed subsystem and the design of the controller.(2)According to the mathematical model of the linear synchronous motor horizontal feed subsystem,designed tracking differentiator,extended state observer and nonlinear state error feedback control law for the speed loop and the i_d、i_q current loop to form respective active disturbance rejection controllers.Carry forward the idea of"eliminating errors based on errors"to realize the tracking of given signals and the control of the system.The system coupling,external disturbance and end effect are taken as the"total disturbance"of the system,and the total disturbance is observed and compensated.For this reason to obtain the final control law.For the high frequency flutter that may occur in the system and the balance between error and gain,the nonlinear function selected in the active disturbance rejection control is improved.Establishing The simulation model of linear synchronous motor control system and the control system is simulated according to different operation modes and conditions.To analyze and compare the response characteristics of the system under PI and active disturbance rejection control control.(3)Because active disturbance rejection control has many parameters and it is difficult to obtain the optimal parameters by cut-and-trial that has certain influence on the control effect of linear synchronous motor.In order to improve the response speed and anti-disturbance capability of the motor,using the particle swarm optimization intelligence algorithm to optimize the controller.The crossover and mutation of genetic algorithm are combined in the particle updating method to solve the problem that particles may not jump out around the local optimal solution with the increasing number of iterations.ITAE is selected as the performance index to establish the simulation model of the control system.Research on simulation analysis that compare active disturbance rejection control system with parameters is not optimized and active disturbance rejection control system based on particle swarm optimization.