基于主振模态预测的带锯振动主动抑制系统

针对带锯条振动引起的材料损失、锯条寿命降低、锯材尺寸精度及加工面质量变差的状况,设计了一种基于主振模态预测的带锯条振动主动抑制装置。该装置实时采集带锯条横向、纵向及扭转方向上的多维度振动信号,并采用基于EMD筛分方法的主振型模态识别算法,来构建振动信号关于主振型模态的预测模型,最后基于实时采得的数据及其预测模型的输出量,通过PID控制方法控制电液阻尼减振器。实验结果表明,该装置对带锯条横向、纵向及扭转方向上的抑振效果分别可达80%、66%、75%。

Active vibration suppression of band sawing system based on main vibration mode prediction

Aiming at the situation of material loss, reducing life of saw blade, lumber size accuracy and machining surface quality variation which is caused by the vibration of band saw blade, a band saw blade vibration suppression device basing on the main modes of vibration prediction was introduced. Multidimensional vibration in the horizontal, vertical and torsional direction in real-time was collected, and a prediction model of the predominant vibration mode which adopting a predominant vibration mode recognition algorithm based on the EMD screening method was established, and at last an electro-hydraulic damper shock absorber was controlled by PID control method on the base of the prediction model and the real-time data. The results indicate that, the effect of suppressing chatter in the horizontal,vertical and torsional direction can reach 80%, 66%, 75%.