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基于综合智能计算的数控系统误差补偿
引用本文:曾黄麟,孙勇,陈顺玲. 基于综合智能计算的数控系统误差补偿[J]. 中国机械工程, 2011, 0(1)
作者姓名:曾黄麟  孙勇  陈顺玲
作者单位:四川理工学院;
基金项目:国家科技重大专项(2009ZX04002-013); 四川省教育厅基础应用研究课题(2008RZ003)
摘    要:
提出一种基于综合智能计算的数控系统位置控制方法,其基本思想是,在现有的数控系统内部嵌入一个神经网络的小型系统(采用插件形式嵌入),利用综合智能计算,得出系统补偿误差,实现对数控系统误差补偿的智能控制。综合智能计算通过应用粗集理论对决策表进行属性约简,利用主元分析进行数据压缩及特征提取,以降低BP网络的输入维数,缩短网络的训练时间,并利用蚁群算法对BP网络参数进行全局搜索,实现网络快速收敛到全局最优值。试验仿真表明,此方法可有效提高系统补偿精度和实时性。

关 键 词:BP网络  粗集理论  主元分析  蚁群算法  

Error Compensation for Machine Tools Based on Integrated Intelligent Computation
Zeng Huanglin Sun Yong Chen Shunling Sichuan University of Science , Engineering,Zigong,Sichuan. Error Compensation for Machine Tools Based on Integrated Intelligent Computation[J]. China Mechanical Engineering, 2011, 0(1)
Authors:Zeng Huanglin Sun Yong Chen Shunling Sichuan University of Science    Engineering  Zigong  Sichuan
Affiliation:Zeng Huanglin Sun Yong Chen Shunling Sichuan University of Science and Engineering,Zigong,Sichuan,643000
Abstract:
This paper is a study of error compensation for machine tools based on integrated intelligent computation.The primary focus was on integrated intelligent computation approach to develop a BP neural network embed in a digital control system of a machine tool.Data compression and feature extraction was realized by way of application of RST and principal component analysis,which reduced BP network input dimension and reduced network training time.Taking advantages of ant colony algorithm,a global optimum of er...
Keywords:BP network  rough set theory(RST)  principal component analysis  ant colony algorithm  
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