在线实时辨识控制通道模型的振动主动控制

摘要

In view of the limitation of practicality and applicability of generally used offline identification, we propose an active vibration control algorithm based on online control channel real-time identification by analyzing the basic control structure and identification strategy. We introduce random noise at the control output and achieve real-time online identification for the control channel using an FIR filter. A filtered-X algorithm is employed for the control. The controller architecture and algorithm process is illustrated. Experiments are performed on the active vibration control platform to assess the identification results. The results show that the proposed control algorithm is feasible and effective.%结构振动自适应滤波前馈控制采用离线辨识策略获得控制通道模型参数,很大程度上导致该方法的实用性和适用性受限.分析该方法的基本控制结构和辨识策略,在此基础上提出一种在线实时辨识控制通道模型参数的振动主动控制方法.在控制输出端引入随机噪声,以FIR滤波器为受控通道模型进行实时在线参数辨识.控制环节采用滤波-X控制算法.给出控制器组成结构与算法过程描述,结合实验模型结构和测控平台进行实验分析与验证,并评估模型在线实时辨识结果.实验结果表明所提控制方法的可行性和有效性.