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基于RBF神经网络的丝杠热误差模型研究
引用本文:岳红新,章青,潘平平.基于RBF神经网络的丝杠热误差模型研究[J].机械设计与制造,2011(2).
作者姓名:岳红新  章青  潘平平
作者单位:1. 河北工程技术高等专科学校,电气系,沧州,061001
2. 天津大学,机械学院,天津,300072
摘    要:数控机床的定位精度是反映机床性能的一项重要指标,由丝杠和螺母相对运动产生的热变形严重影响定位精度。结合丝杠热变形的非线性等特点,采用径向基函数神经网络方法建立丝杠热变形误差模型。同时在XHFA2420大型仿形定梁龙门加工中心,对模型进行了实验验证。

关 键 词:丝杠  热变形  非线性  神经网络  

Research on nonlinear thermal error of ball screw based on RBF neural network
YUE Hong-xin,ZHANG Qing,PAN Ping-ping.Research on nonlinear thermal error of ball screw based on RBF neural network[J].Machinery Design & Manufacture,2011(2).
Authors:YUE Hong-xin  ZHANG Qing  PAN Ping-ping
Affiliation:YUE Hong-xin1,ZHANG Qing2,PAN Ping-ping1(1Department of Electrical Engineering,Hebei Engineering and Technical College,Cangzhou 061001,China)(2School of Mechanical Engineering,Tianjin University,Tianjin 300072,China)
Abstract:The positioning precision,which is an important index of the numerical machine tools,is severely affected by the thermal deformation caused by relative movements between the ball screw and the nut.Thermally induced error of the ball screw drive system is a time-dependent nonlinear process,so a neural network method is used to model the thermal error in it.Some experimental researches are put forward on XHFA2420 machining center by the double frequency laser interferometer.
Keywords:Ball screw  Thermal deformation  Nonlinear  A neural network  
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