一种数控折弯加工多参量非线性补偿新方法  

A New Method for CNC Bending Multi-parametric Nonlinear Compensation

作　　者：曾文舟[1] 吴黎明[1] 张贺云[1] 陈刘[1] 

机构地区：[1]广东工业大学信息工程学院,广东广州510006

出　　处：《机床与液压》2013年第5期36-39,共4页Machine Tool & Hydraulics

基　　金：粤港关键领域重点突破招标项目(20080102-5);广东省教育部产学研结合项目(2011B090400468);惠州市产学研结合项目(2011C010002008)

摘　　要：对复变量移动最小二乘法及其基函数、紧支域半径等重要参数进行研究,针对它在非均匀采样点集应用上的不足,提出一种待拟合点紧支域半径随采样点区域稀疏程度动态调整的改进型复变最小二乘法,并将其应用到数控折弯机的多参量非线性补偿中,对多组拟合数据进行对比性曲线拟合以及曲面拟合。结果表明:与传统的复变量移动最小二乘法拟合曲线相比,改进型复变最小二乘法在计算复杂度、平滑性以及精度尤其是点密集区域的精度等方面都取得了较大的改进。Complex variable moving least squares （MLS） and the important parameters such as basic functions and support do- main radius were discussed. For the lack of its applications on non-uniform sampling point set, an improved complex variable least squares （DRMLS） was presented which support domain radius at fitting point was dynamically adjusted with the thickness of sampling point set. The arithmetic was applied to multi-parameter nonlinear compensation of CNC bending machine with comparative experi- ments between MLS and DRMLS on multiple sets of data. The results show that DRMLS has achieved a larger improvment in computa- tional complexity, smoothness and accuracy, especially accuracy in thick point sets region compared with traditional MLS.

关 键 词：复变量移动最小二乘法 数控折弯机 多参量非线性补偿 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]