Mass adaptation of maglev levitation system based on feedback linearization

In order to explore the precise dynamic response of the levitation system and verify the validity of controller, a maglev coupled model is developed in the first step. Then the feedback linearization controller based on the mathematical model of a maglev levitation module is derived. The numerical simulations indicate that the feedback linearization controller outperforms the traditional PID controller. Furthermore, In order to suppress the side effects of the sprung mass uncertainty, an adaptive control algorithm is adopted. By asymptotically tracking the unknown mass variation in the closed loop control system, the gains of the stabilizing controller are appropriately scheduled. As a result, an identical levitation performance against load variations can be guaranteed.