Design And Simulation Analysis Of Levitation Conttroller Of Maglev Train

In recent years, China has carried out some domestic innovation research and development of high-speed maglev train technology based on the digestive absorption research of the German TR08 maglev train technology, and China has acquired some valuable research results. However, the breakthrough progress in the key technology of high-speed maglev train—levitation control technology has not been achieved yet. So it is necessary to develop further basic theory studies of levitation control. Aiming to the TR08 high-speed maglev train system, levitation controller design and dynamic simulation were carried out in this paper. The purpose of this paper is to provide some theory and application references for high-speed maglev train technology development in China.Firstly, this paper introduces the electromagnetic levitation principle and its structure features of TR08 high-speed maglev train. Then, the active levitation control system is analyzed from the standpoint of dynamics and electromagnetism, and the nonlinear dynamic model of single magnetic levitation system is established. Furthermore, the nonlinear model is linearized using the equilibrium linearization method and feedback linearization method respectively. The linear voltage control model and current control model are obtained. Comparing the advantages and disadvantages of both linearized models, the basic model of levitation system is presented for the controller design.Using the MATLAB software, dynamic responses of the levitation control system based on both linearized models are simulated and analyzed. Numerical results show that the controller based on the feedback linearization model has better dynamic performance and anti-interference ability. Because the magnetic levitation system is a time-varied, strong nonlinear system, it is difficult to attain perfect dynamic performance and robustness. A fuzzy PID controller based on feedback linearization model is designed, which combine with the advantages of fuzzy control and PID control. The principles and design parameters of the fuzzy PID controller are introduced in detailed. Compared to the classical PID control method, the simulation results proves that the fuzzy-PID controller not only has fast response and less overshoot, but also has better dynamic performance and stronger robust.In order to study the dynamic characteristics of the levitation controller based on single-magnet system when it is used in maglev vehicle system, dynamic model of high-speed maglev vehicle including the entire electro-mechanical systems is established by the multi-body dynamics simulation software SIMPACK. Dynamic responses of the mechanical system and control system are calculated, and the effects of control parameters on system dynamics are analyzed.