State Space Adaptive Control for a Rigid Rotor Suspended in Active Magnetic Bearings

In this paper an adaptive state space controller for a rigid rotor suspended in active magnetic bearings is presented. For this sake a discrete time state space model is established in controller canonical form. Based on that model a recursive adaptation algorithm is used to estimate both all system parameters and all states. In addition a pole placement controller is calculated upon the identified model. Simulation results of the closed loop system including the proposed algorithm show the successful operation for changes of system parameters, in this case the sudden appearance of nonconservative cross-coupling forces, as generated by seals, for example.