Levitation Robust Control for Magnetic Levitation System of Maglev Vehicle with Time-delay

The high-performance control of maglev vehicles has encountered challenge in the form of time-delay. We propose a robust control method based on T-S fuzzy model aimed at the problem of air gap control of magnetic levitation system (MLS) for maglev vehicle under time-delay condition. The key idea is based on the global fuzzy model derived through the sector nonlinearity to design a global robust controller utilizing the parallel distributed compensation (PDC) method and method. As a result, the stability of the system is guaranteed under conditions of mass parameter uncertainty, disturbance and time-delay. It is shown that the theoretical analysis, numerical simulations, and experimental results are consistent to show the effectiveness of the proposed control method.