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基于神经网络的回转球面磨削精度过程控制
引用本文:许开州,魏臣隽,柴运东,许黎明,胡德金.基于神经网络的回转球面磨削精度过程控制[J].上海交通大学学报,2011,45(11):1626-1631.
作者姓名:许开州  魏臣隽  柴运东  许黎明  胡德金
作者单位:(上海交通大学 机械与动力工程学院, 上海 200240)
基金项目:国家自然科学基金资助项目(51075273)
摘    要:介绍了回转球面精密磨削系统,在研究回转球面精密磨削原理和机床结构的基础上,分析了球体形状误差的产生原因,利用BP神经网络拟合进给量、磨削区段和砂轮主轴电流三者之间的非线性关系,通过网络预测调整不同磨削区段的进给量控制电流恒定从而达到恒功率磨削.

关 键 词:神经网络    球面磨削    球度误差  
收稿时间:2010-10-27

Investigation of Sphere Grinding Process Control on the Basis of Neural Network
XU Kai-zhou,WEI Chen-juan,CHAI Yun-dong,XU Li-ming,HU De-jin.Investigation of Sphere Grinding Process Control on the Basis of Neural Network[J].Journal of Shanghai Jiaotong University,2011,45(11):1626-1631.
Authors:XU Kai-zhou  WEI Chen-juan  CHAI Yun-dong  XU Li-ming  HU De-jin
Institution:XU Kai-zhou,WEI Chen-juan,CHAI Yun-dong,XU Li-ming,HU De-jin(School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200240,China)
Abstract:A precision sphere grinding system was introduced.On the basis of mechanism of sphere grinding system and grinder structure,the cause of sphere form error was analyzed.BP neural network was used to fit the non-linear relationship between feed rate,grinding section and spindle current.And the current was kept stable by adjusting feed rate previously at different grinding section,therefore,constant power grinding was obtained.
Keywords:neural network  sphere grinding  sphericity error  
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