基于次级通道在线辨识新算法的振动主动控制
Active Vibration Control with a New Online Secondary Path Modeling Method

提出一种基于改进滤波型最小均方（filtered-X least mean square, 简称FXLMS）算法次级通道在线辨识方法，将其应用到结构自适应振动主动控制中。该算法可以消除主动控制环节和次级通道辨识环节相互影响，加快系统的收敛速度，并有效消除附加随机信号对待控制区域残余振动的影响，简化了系统算法的复杂度。将该方法基于LABVIEW进行振动控制仿真，从收敛性能和振动控制效果两方面进行比较，得出其改进优势。以简支梁为控制对象,用本研究方法进行结构振动主动控制的试验研究。结果表明，该控制系统对简支梁的振动响应有很好的抑制作用,说明该基于次级通道在线辨识的主动控制方法的有效性。
An online secondary path identification method is proposed based on the modified filtered-X least mean square (FXLMS) algorithm, which is applied in adaptive active control of structural vibration. The proposed algorithm can eliminate the perturbation between the active control process and secondary path modeling process, accelerate the convergence speed of the system, reduce the contribution of auxiliary noise to the residual vibration, and simplify the complexity of the algorithm. Active vibration control simulations are provided based on LABVIEW software. Compared with existing methods, the proposed method has superior performance in the convergence and effect of active vibration control. Finally, an active structural vibration control experiment is made on a simply supported beam using the proposed method to achieve good inhibitory effect of the beam′s vibration response. The results illustrate the effectiveness of the secondary path online modeling method for active control.