Direct Model Reference Adaptive Control Design and Simulation for the Vibration Suppression of a Rotor System with Magnetic Bearings

This paper presents a dynamic output feedback control based on a nonlinear direct model reference adaptive control (DMRAC) for magnetic bearing rotor systems with excentricity. First the DMRAC problem is defined and a direct control algorithm is described, then the basic DMRAC algorithm is modified by augmenting the integral term of the control law in order to provide the robustness of the control system with respect to stability. This approach helps to maintain the boundedness of the system states and adaptive gains, with small tracking error over large ranges of non-ideal conditions and uncertaintes. Numerical solution of the proposed control system is performed. Simulation validations show that the proposed robust control algorithm can suppress the rotor unbalance-induced vibration.