Research on Control Strategy of Single-Point Suspension System Based on Linear Active Disturbance Rejection

Abstract

AbstractThe inherent nonlinearity, open-loop instability, parameter perturbation and uncertainty of external interference in the maglev system of the normal-conducting medium-to-low-speed maglev train make it difficult for traditional control methods to achieve good control results. This paper takes the F-track single-point suspension system as the research object, establishes the open-loop transfer function of the single-point suspension system, and uses the linear active disturbance rejection control (LADRC) algorithm to design the LADRC controller to realize the single-point suspension system. The linear extended state observer (LESO) is designed to observe the internal dynamic changes and external disturbance information in real time, so as to estimate the “total disturbance” of the system; the linear state error feedback control law (LSEF) is designed to generate control variables and compensate for disturbances. LADRC can reduce the dependence of the controlled object on the mathematical model, overcome the influence of the nonlinearity, time delay and uncertainty of the system on the tracking effect, and improve the stability and anti-interference ability of suspension control during train operation. The simulation experiment compares the control effects of LADRC and PID controllers. The results show that LADRC is superior to PID control in terms of rapid response, followability, anti-disturbance ability and dynamic performance.KeywordsSingle-point suspensionLADRCLESOAnti-interference abilityDynamic performance