基于卡尔曼滤波算法的精密数控加工方法  

Precision NC Machining Method Based on Kalman Filter Algorithm

作　　者：赵铭 张宇 贾志纲 马清涛 ZHAO Ming;ZHANG Yu;JIA Zhigang;MA Qingtao(School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024)

机构地区：[1]太原科技大学机械工程学院,太原030024

出　　处：《现代制造技术与装备》2022年第4期200-203,共4页Modern Manufacturing Technology and Equipment

基　　金：2020年太原科技大学教学改革创新项目“工程训练中心开展综合工程实践与应用教学改革探索”(202010)。

摘　　要：描述了一种基于卡尔曼滤波算法的精密数控加工方法,对传统的闭环数控加工系统进行改进。用时间序列分析方法建立加工状态模型,把加工过程看成一个动态随机过程。误差检测系统测得的误差信号必然包含某些频率的噪声干扰信号,可通过卡尔曼滤波算法降低噪声,获得加工误差的最优估计值,使得机床可根据加工误差最优估计值做补偿运动,减少由于检测装置导致的加工误差,提高加工精度。This paper presents a precision numerical control machining method based on Kalman filter algorithm, which improves the traditional closed-loop NC machining system. The processing state model is established by time series analysis, and the processing is regarded as a stochastic dynamic process. Because the error signal measured by the error detection system must contain some frequency noise interference signal, the Kalman filter algorithm is used to eliminate the noise and obtain the optimal estimate of the machining error. The machine tool compensates according to the optimal estimate of the machining error. The machining error caused by the detection device is reduced, and the machining accuracy is improved.

关 键 词：精密数控加工 动态随机过程 卡尔曼滤波 

分 类 号：TN713[电子电信—电路与系统] TG659[金属学及工艺—金属切削加工及机床]