Physic-interpretation-based predictive control of a novel active dry friction damper for rotor vibration suppression

Abstract

This paper proposes a physic-interpretation-based predictive control scheme based on a novel electromagnetic active dry friction damper (ADFD) for rotor vibration suppression. First, the configuration of a novel rotor’s ADFD for rotor vibration control is introduced. A three-directional force sensor is embedded in the novel rotor’s ADFD, which can monitor the status of friction contact in real time. Then, the finite element method is used for dynamic modeling of the ADFDs-rotor system and modal truncation is applied for order reduction. The trajectory tracing method is reformulated to establish a unified algebra equation for the planar friction forces, in which case prediction on the frictional contact status can be performed. An augmented Kalman filter is integrated with the proposed predictive control scheme to estimate unmeasurable friction motions of friction pads. A model-free adaptive control method is further utilized to generate the required ADFD’s normal forces. Finally, the effectiveness of the proposed method is examined experimentally. It is shown that the proposed predictive control scheme could regulate the ADFD’s normal forces according to real-time rotor vibration levels, and it performs much better than the traditional passive control schemes if the unbalanced level or operating speed significantly deviates from the design conditions.