【摘要】 以Stribeck摩擦效应为基础,提出一种基于光栅尺、伺服电机电流(转矩)等机床本体信息(无传感器)的大型数控机床进给轴(电机+滚珠丝杠传动结构)润滑状态的快速识别与评估方法,即通过把Stribeck摩擦效应中的静摩擦力矩、库仑摩擦力矩、黏滞摩擦因数等关键参数用于润滑状态趋势分析,并采用变幅值变速度三角波快速测试曲线和非线性模型辨识方法,实现参数准确分离。实验证明提出的润滑状态的识别方法简单、快速、准确、有效,从而为大型数控机床进给轴润滑状态在线监测提供技术支撑。更多还原

【Abstract】 According to Stribeck effect,a kind of sensorless rapid technology for feed-axis(motor+ballscrew) lubrication condition identification of large scale numerical control(NC) machine tools based on linear or rotary scale and motor current(torque) was proposed.To acquire the information,the static friction force,Coulomb friction force and viscous coefficient was employed for trend analysis,and the various amplitude and velocity triangular wave test curve and a kind of precise nonlinear model identification method were suggested.The analysis of the experiments show that it is simple,rapid,feasible and reliable for evaluating feed-axis lubrication condition,which puts the basis for large scale NC machine tools feed-axis lubrication on-line condition monitoring.更多还原