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The suspension system of Maglev vehicle needs strong robustness and anti-jamming ability in the process of operation and fluctuation control. In order to solve the open-loop instability and strong nonlinearity of the mechanical equation of the suspension system of the Maglev vehicle, the non-linear dynamic equation is established. At present, the research based on the single electromagnet and the rigid track is the most common. However, based on this method, it is impossible to study the coupled vibration caused by track factors. Therefore, based on the dynamic equation of a single span simply supported beam of flexible track and the non-linear equation of the suspended electromagnet itself, an overall control model is needed to discuss the control strategy. Based on this dynamic model, the singularities of the system are solved according to Hurwitz criterion, and the characteristic equation corresponding to the Jacobian matrix is obtained. The stability analysis shows that the system is unstable. At the same time, the necessity of using a feedback control method to control the air gap has been proved. On this basis, a sliding mode adaptive state feedback controller for the maglev system is designed based on the RBF network approximation principle. The corresponding simulation and experimental results are given. The simulation and experimental results show that the controller can ensure the vehicle's stable suspension and effectively suppress external interference. Compared with the traditional PID and fuzzy controllers, the controller can guarantee a faster dynamic response, stronger robustness, and smaller overshoot while considering the flexible track and external disturbances. INDEX TERMS Maglev system, flexible track, coupled vibration, RBF, sliding mode adaptive control.

The motor is an important part of the flywheel energy storage system. The flywheel energy storage system realizes the absorption and release of electric energy through the motor, and the high-performance, low-loss, high-power, high-speed motors are key components to improve the energy conversion efficiency of energy storage flywheels. This paper analyzes the operating characteristics of the permanent magnet synchronous motor/generator (PMSG) used in the magnetically levitated flywheel energy storage system (FESS) and calculates the loss characteristics in the drive and power generation modes. Based on this, the electromagnetic part of the motor is optimized in detail. Aiming at this design, this paper calculates the loss characteristics of driving and power generation modes in detail, including its winding loss, core loss, rotor eddy current loss and mechanical loss. The calculation results show that the design meets the loss requirements. It can reduce the no-load loss of the permanent magnet synchronous motor at high speed and improve the energy conversion efficiency, which gives this system practical application prospects.

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Due to the strong coupling and large disturbance between multiple electromagnetic coils, the previous dynamic model of low-speed maglev train cannot accurately model the complex system when it is levitated. Therefore, based on the general linear transfer function, the concept of feature modeling is introduced to describe the dynamic characteristics, environmental characteristics and control performance requirements of the system by defining feature variables. On the premise of satisfying a certain sampling frequency, the original dynamic model is approximately linearized, which is equivalent to a second-order difference equation, i.e. a system with slow time-varying parameters. On this basis, the design and implementation of the controller of the magnetic levitation system are discussed. First, by studying the application of PID controller in suspension system, the difficulty of parameter debugging of PID controller and the insufficiency of restraining coupling interference are pointed out. The generalized predictive control (GPC) is proposed and improved to improve the robustness and anti-jamming of the system. Finally, a large number of simulations and experiments show that the controller can effectively suppress the coupling interference. Compared with single-point levitation controller, it has higher application value in engineering practice.