Simulation And Research On Control Strategy Of Maglev System

With the rapid development of the world today,people are increasingly demanding high speed,safety,convenience,and cleanliness of transportation.Maglev trains have these advantages at the same time,which is an important development trend in the field of transportation in the future.With vigorous support from the National “13th Five-Year Plan,” Southwest Jiaotong University is currently working hard to develop a high-temperature superconducting vacuum maglev train,which is expected to exceed 1,000km/h.Therefore its control technology is particularly important,especially the gap control,which will directly affect the stability and safety of the system in the process of stable suspension.Nowadays,the control algorithms for maglev train systems at home and abroad have also been studied.However,the influence of nonlinear control factors on the maglev train system is particularly prominent.Sliding mode control is a non-linear controller,and it is insensitive to changes in system parameters and external disturbances,and is particularly applicable to maglev train systems.This article takes electromagnetic suspension(EMS)train as the research object,and the main research contents are as follows:1.Aiming at the nonlinear characteristics of the maglev train system,a nonlinear system structure model was established.The linear control and feedback linear stabilization control based on the equilibrium state point are respectively performed on the system,and the system is simulated and analyzed to compare the respective advantages and disadvantages of the two state feedback control.2.Using the sliding mode control(SMC)and reaching law approach to improve the overshoot and anti-jamming problems that arise in the stabilization control methods for the two state feedbacks.In order to solve the problem of serious chattering in the traditional SMC,the sliding mode control with the power reaching law(PRL-SMC)control algorithm was used for the maglev train control system for the first time.At the same time,using Matlab/Simulink to build the simulation model of the system,and using S function to control the system's control program and object program,the simulation results show that the PRL-SMC control method significantly weakens the system chattering.3.Based on the PRL-SMC control algorithm,the dual-power reaching law(DPRL)method and the integral control combined with the advantage of the exponential reaching law(ERL)method are introduced to control the nonlinear system.An improved control algorithm for the integral sliding mode control of the double-power reaching law(DPRL-I-SMC)algorithm,was firstly applied to the maglev train system to further suppress the chattering and overshoot of the system and improve the dynamic performance of the system.4.In order to further verify the superiority of the above methods,and consider the problems of the maglev train track irregularities in general practical projects,the system is added with sinusoidal interference,gradient interference and wind interference.The traditional SMC,PRL-SMC and modified DPRL-I-SMC are required to perform verification and anti-jamming performance respectively.The simulation results show that in terms of overshoot,stabilization time,and anti-jamming performance,the improved DPRL-I-SMC control algorithm has better dynamic characteristics than other algorithms.This paper applies the PRL-SMC control algorithm to the nonlinear system of magnetic levitation train for the first time.Based on this algorithm,further improvements are made and an improved DPRL-I-SMC control algorithm is proposed.It performs well in controlling dynamic performance and anti-jamming performance.