Research On Networked Control Strategy Of Air Gap Suspension System Of Maglev Train

Air gap suspension control is the core and key technology of the maglev train.While the performance of the levitation controller directly determined the smoothness of the maglev train operation and the comfort of passengers,so the research on the suspension controller has great theoretical significance and application value for the development of the maglev train.The air gap suspension system of maglev train is taken as the research object,while establishes the mathematical model of the air gap suspension control system of maglev train under the rigid track,then designs three kinds of networked controllers,and verifies the control effect of each networked controller through the example simulation.The main research contents of this dissertation are as follows:(1)Based on the air gap suspension system of single electromagnet’s and single freedom degree,a mathematical model of the air gap suspension control system on the maglev train under rigid track was established.while the model was linearized by the Taylor formula,and the stability of the air gap suspension open loop system of the maglev train was analyzed,while the suspension system was an unstable system.(2)The networked state feedback controller of the air gap suspension system on the maglev train was designed,while the problems by the network control process were treated as constant delay and the constant time lag was transformed by introducing adjustment parameters,the exponential Lyapunov-Krasovskii functional was constructed,which proved the exponential progressive stability of the network state feedback control system,and the control effect of the network state feedback controller was verified by simulation example.(3)The network multi-channel controller of the air gap suspension system on the maglev train was designed,while several network transmission channels and the front controller with buffer zones were used in the networked multi-channel control system to solve the problems of packet delay,loss and disorder in the process of network control.The exponential Lyapunov-Krasovskii functional was constructed,which proved the exponential progressive stability of the networked multi-channel control system,and verifies the control effect of the network multi-channel controller through simulation example.And compared with the networked state feedback controller of the air gap suspension system of the maglev train,the results showed that the control effect of the network multi-channel controller has better control effect.(4)By considering the problems of packet delay,loss,disorder and the external interference force of the control system in the process of network control,the event-driven actuator ZOH with logical judgment was used on the front end.The network H_∞controller of the air gap suspension system on the maglev train was designed by the method of quadratic convex combination,which ensured that the suspension system meeting the H_∞performance index and the robust stability of the network control system.The control effect of the networked H_∞controller was verified by the simulation of the study,while the control effect of the network H_∞controller is better when compared with that of the networked state feedback controller and the network multi-channel controller of the magnetic levitation train air gap suspension system.