Active Maglev Vibration Isolator System Based on Adaptive Sliding Mode Control

In this paper,a maglev active isolator system and corresponding adaptive sliding mode control algorithm are designed.Considering the complexity of the system,its magnetic circuit is analyzed by finite element method.Then the result is compared with Maxwell theoretical model and hence an improved and more accurate model is obtained by binging in an uncertain factor.Based on the improved model,an adaptive sliding mode control algorithm is designed.This algorithm deals with the strongly nonlinearity and parametric uncertainties of the improved effectively model,further more no information about the vibration source is required beforehand in its design process.Simulation testifies the high performance of this system on low-frequency isolation.