Optimal Control Scheme of Maglev Train Based on The Disturbance Observer

In this paper, the mathematical model of single electromagnet suspension system is established. The optimal control algorithm based on the nonlinear disturbance observer is proposed for the established model of the maglev train. The inaccuracy and external disturbance of the model for the suspension system are observed by a nonlinear disturbance observer. By designing appropriate parameters, the observation error can be converged. For the system which introduces the nonlinear disturbance observer, the optimal control algorithm is used to design the controller to achieve the system stability. The control algorithm ensures the closed-loop stability of the magnetic levitation system in order to achieve stable suspension of the train. The simulation results show that the method can observe the interference ideally and greatly reduce the influence of interference on the system which improve the control performance of the system.