车削加工信息融合的神经网络误差补偿技术  

Error Compensation Technology Based on Neural Networks of Information Fusion in Turning Machining

作　　者：刘宏[1] 李尚政[1] 姚进[2] 

机构地区：[1]中国工程物理研究院机械制造工艺研究所,绵阳621900 [2]四川大学制造科学与工程学院,成都610065

出　　处：《机床与液压》2005年第5期26-27,29,共3页Machine Tool & Hydraulics

基　　金：中国工程物理研究院基金资助项目(2001Z0302)

摘　　要：通过对车削加工误差的信息进行综合分析,运用人工神经网络的基本方法,建立了车削加工误差信息融合的神经网络结构的误差补偿模型,从结构和算法上进行了详细阐述;并介绍了在线误差补偿硬件系统的实现方法,以及通过样本的合理选择和系统的学习来提高补偿系统的补偿能力。Through synthetic analysis error information in turning machining,an error compensation model of neural networks structure based on error information fusion of turning machining was built,and its structure and algorithms were expatiated detailedly.The realization method of lined error compensation hardware system and the methods of advance its compensation ability by the reasonable selection swatch and by the system study were introduced.

关 键 词：误差补偿 神经网络 信息融合 车削加工 

分 类 号：TP389.1[自动化与计算机技术—计算机系统结构] TH161.5[自动化与计算机技术—计算机科学与技术]