Sliding mode control with disturbance estimator scheme is proposed for the control of a maglev vehicle. The
conventional sliding mode control requires a priori knowledge of the upper bounds of parameter variations and
disturbances to assure robustness, but it is hard to know the upper bounds of guideway disturbances like guideway
irregularity and guideway deflection in a maglev vehicle. A sliding mode control with disturbance estimator, which
offers a robust control performance without a priori knowledge about the disturbances, is derived to maintain the desired
robustness and minimize the effect of guideway disturbances. Simulation results of the proposed controller are given to
illustrate the effectiveness of the proposed scheme.
An electromagnetic levitation controller design considering vehicle-guideway interaction is presented. Even though to
design a Maglev controller to make a vehicle steady suspension under guideway deflection is a key technology in
Maglev vehicle system, the vehicle-guideway interaction effects haven't well explored and yet settled.
The vehicle is approximated to a single moving reaction force and the primary and secondary suspension dynamics are
applied to the model. The Bernoulli-Euler beam equation is used to model the dynamic deflection of guideway, which
acts as a disturbance to the Maglev control system. Based on the model, a PID controller and a state feedback controller
with a state observer are proposed. The feasibility of the controller is verified through the Simulink simulation.