Fxlms-based adaptive vibration control of vertical tail

The vertical tail vibration problem usually leads to the fatigue failure of the tail structure, so that it is important to suppress the vibration of the vertical tail. During buffeting the fluid-structure interactions can bring the vertical tail with time-varying structural dynamic properties due to additional aerodynamic stiffness and damping effects. In order to overcome the challenges caused by time-varying dynamical features, an adaptive control system using distributed Macro Fiber Composite (MFC) actuators is developed to suppress the vibration of a scaled vertical tail model. An adaptive Filtered-x Least Mean Square (FxLMS) control algorithm, which is equipped with two important modifications, secondary path online model based on simultane-ous equation method and reconstruction of reference signal, is proposed to the tail vibration al-leviation problem. The vibration control experiment results show that although the above modifications can influence the convergence and stability of FxLMS, all the suppression results are maintained on satisfying levels.