大型数控机床进给轴润滑状态的快速识别  

Rapid Identification for Feed-axis Lubrication Condition of Large Scale Numerical Control Machine Tools

作　　者：周玉清[1] 梅雪松[1] 姜歌东[1] 孙挪刚[1] 陶涛[1] 

机构地区：[1]西安交通大学机械制造系统工程国家重点实验室,西安710049

出　　处：《中国机械工程》2009年第2期154-158,共5页China Mechanical Engineering

基　　金：国家重点基础研究发展计划资助项目(2005CB724106);国家863高技术研究发展计划资助项目(2008AA042405)

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。According to Stribeck effect, a kind of sensorless rapid technology for feedaxis （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.

关 键 词：数控机床 无传感器 润滑状态 趋势分析 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]