复合加工机床空间误差补偿和精度提升
Volumetric error compensation and accuracy improvement of a compound machine tool
吴迎春 1白永明 1沈建新2
作者信息
- 1. 无锡工艺职业技术学院机电与信息工程学院,宜兴 214206
- 2. 南京航空航天大学机电学院,南京 210006
- 折叠
摘要
对特殊结构的复合加工机床采用D-H和H-M方法结合的系统主法进行了运动学建模,使激光跟踪仪测量的机床空间误差便于模型参数辨识,并列出了机床理论模型的正解和机床误差模型的识别参数.在机床运动学误差模型中,以验证点的理论空间位姿为基准,根据刀具点空间位姿相对于机床坐标轴的雅克比矩阵,使用分块矩阵结合L-M算法,计算得到了验证点的坐标轴补偿值,算法收敛速度快,相对于雅克比矩阵迭代法提高了计算效率,经过坐标轴补偿后机床的空间位置误差和姿态误差平均值分别为0.004 22 mm和9.99×10-4 rad,比补偿前误差分别降低了 82.5％和16.1％,表明复合加工机床的空间位姿精度得到大幅提升.
Abstract
The kinematic modeling of the special structure compound machine tool is carried out by D-H and H-M methods,so that the machine tool volumetric positioning error measured by the laser tracker is convenient for model parameter identification,and the forward solution of the machine theoretical model and the identification parameters of the machine kinematic error model are listed.In the kinematic error model of the machine tool,taking the theoretical volumetric position and orientation of the verifi-cation points as the basis,according to the Jacobi matrix of the volumetric position and orientation of the tool point relative to the coordinate axis of the machine tool,the block matrix combined with the L-M algorithm is used to calculate the coordinate axis compensation of the verification points,the algorithm converges quickly,and the calculation efficiency is improved compared to the Jacobi matrix iterative method,and the average value of the volumetric position and orientation error of the machine tool after the coordinate axis compensation is 0.004 22 mm and 9.99×10-4 rad.Compared with the error before compensation,the error is re-duced by 82.5％and 16.1％,respectively,indicating that the volumetric position and orientation accuracy of the compound ma-chine tool has been greatly improved.
关键词
复合加工机床/运动学模型/空间误差/补偿/L-M算法Key words
compound machine tool/kinematic model/volumetric error/compensation/L-M algorithm引用本文复制引用
基金项目
"高档数控机床与基础制造装备"科技重大专项(2014ZX04001071)
江苏省职业教育线缆智能制造"双师型"名师工作室项目(2022)()
无锡市职业教育吴迎春智能控制名师工坊项目(2021)()
江苏省高等学校青蓝工程项目(2021)()
出版年
2024
国家科技期刊平台
NSTL
万方数据