| 引用本文: | 王建平,戴一帆,洪晓丽.精密机床神经网络法精度建模.[J].国防科技大学学报,2002,24(1):89-93.[点击复制] |
| WANG Jianping,DAI Yifan,HONG Xiaoli.Neural Network Method of Accuracy Model Building for Precision Machine Tools[J].Journal of National University of Defense Technology,2002,24(1):89-93[点击复制] |
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| 精密机床神经网络法精度建模 |
| 王建平, 戴一帆, 洪晓丽 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 摘要: |
| 介绍了神经网络理论在数控机床误差建模中的应用。以精密气浮花岗石铣床为研究对象，建立了机床的精度模型，并为此设计了一种特殊的检具，构造了训练样本。通过神经网络精度模型对机床的定位精度进行预测。实验结果表明该方法是可行的。 |
| 关键词: 数控机床 神经网络 精度建模 检具 |
| DOI： |
| 投稿日期：2001-11-02 |
| 基金项目:国防科技重点实验室基金资助(99JS53.6.1KG0112) |
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| Neural Network Method of Accuracy Model Building for Precision Machine Tools |
| WANG Jianping, DAI Yifan, HONG Xiaoli |
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(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| The neural network is applied for the error model building of NC machine tool. Taking a precision aerostatic granite milling machine as the research object, an accuracy model of the milling machine is established, a special gauge is designed, and a training sample is constructed as well. Positioning accuracy of the machine tool can be forecasted by the neural network accuracy model. The results show that the scheme is feasible. |
| Keywords: NC machine tool neural network accuracy model building gauge |
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