基于压电自感作动器的振动主动控制系统研究

A Vibration Active Control System Based on Piezoelectric Self-Sensing Actuators

介绍了压电自传感作动器电学物理模型 ,分析了传统的桥路法在提取结构振动信号时所存在的问题 ,进一步提出了将最小二乘均方 (L east Means Squares,简称 L MS)自适应算法同时应用于压电自传感作动器传感与激励信号间的动平衡分离以及压电智能结构振动的主动控制 ,并从理论上进行了证明。软、硬件仿真试验结果表明 :采用基于 L MS的自适应算法可实现压电自传感作动器传感与激励信号完全地、不失真地分离以及压电智能结构振动的实时抑制。该策略原理简单 ,易于在智能结构振动主动控制、结构的健康监测中得到广泛应用 ,具有一定的实用价值和工程应用前景。

After introducing the circuit physical model of piezoelectric self sensing actuators,this paper analyses the problems existing in picking up structure vibration signals using traditional electric bridge. The least means square(LMS) self adapting algorithm is applied to the dynamic balance separation between piezoelectric self sensing actuators and excitation signals and to the active control of a piezoelectric smart structure, which is theoretically proved. The simulations both of the soft ware and hard ware show that the self adapting algorithm with LMS can be used to seperate the piezoelectric self sensing actuator sensing from the excitation signal totally and distortionlessly. The method put forward in the paper is simple in principle and can be easily used in the active control of structure vibration and the structure health monitoring. It has certain practical value and prospects of engineering applications.