Sensorless Rapid On-line Evaluation for Slide Level

Yuqing Zhou, X. Mei, Dong Liu, G. Jiang, N. Sun
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Abstract

Slide level is one of the most important indexes of CNC machine tool performance. A novel kind of sensorless rapid on-line evaluation technology for machine tool slide level based on linear or rotary scale, motor encoder and AC servo motor current/output torque is proposed. To acquire the level information, the sensorless test principle is profoundly investigated, and the relationship mathematical model between the slide level and the sensorless data is established. Furthermore, according to the Stribeck effect, the various amplitude and velocity triangular wave test curve and a kind of precise nonlinear model identification method are suggested to get the key parameters such as static friction torque, coulomb friction torque, viscous coefficient and total moment of inertia. And then CNC slide level can be identified. The analyses results of the experiments show that it is simple, rapid, feasible and reliable for evaluating slide level.
滑块水平的无传感器快速在线评估
滑轨水平是数控机床性能的重要指标之一。提出了一种基于直线或旋转标尺、电机编码器和交流伺服电机电流/输出转矩的机床滑轨液位无传感器快速在线评价技术。为获取滑块液位信息,深入研究了无传感器测试原理,建立了滑块液位与无传感器数据之间的关系数学模型。根据斯特里贝克效应,提出了不同振幅和速度的三角波试验曲线和一种精确的非线性模型识别方法,以获得静摩擦力矩、库仑摩擦力矩、粘性系数和总惯性矩等关键参数。然后数控滑轨水平即可识别。试验分析结果表明,该方法简便、快速、可行、可靠。
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