Vibration suppression of base-excited rotors supported by active magnetic bearings based on an augmented Kalman compensator

Rotor systems supported by active magnetic bearings (AMBs) on a moving base, such as ships and vehicles, usually experience increased vibration due to the additional excitations, known as base excitations. In this paper, an augmented Kalman estimator (AKE) based compensator is proposed to suppress the base-excited vibration of an AMBs-rotor system. In the design, the AKE is employed to optimize the gain vectors online with an inaccurate model and noisy response. The optimized gain vectors are subsequently multiplied by the corresponding base-excited parameters to calculate the compensation current for suppressing the base-excited vibration. As a result, the compensation current in phase with the base excitation results in great suppression of the base-excited vibration. Meanwhile, the elimination of the necessity for precise modeling makes the proposed compensators highly robust. In order to provide useful guidance for the selection of the covariance matrices, the influences of the covariance matrices on the compensator performance are thoroughly analyzed. Finally, through the numerical and experimental results under base translation and base swing, the effectiveness and robustness of the proposed compensator are demonstrated.