用神经网络方法探测机床运动误差通用建模方法  

Study on Kinematic Error Modeling of Machine Tool with Neural Network Method

作　　者：邬再新[1] 周伦才[1] 李娜[1] 李彦宏[1] 

机构地区：[1]兰州理工大学机电学院,甘肃兰州730050

出　　处：《制造技术与机床》2008年第3期57-59,共3页Manufacturing Technology & Machine Tool

摘　　要：分析了机床运动误差源。以典型误差源用神经网络方法建立机床主轴运动误差模型,总结了神经网络建模过程及建模方法,该模型有很强的通用性和适用性,可应用于智能误差补偿技术。Analyzing the kinematic error source of machine tool, the model of the kinematic error of machine tool spindle is established by using the neural network method with the representative error source. The modeling process and method by neural network is summarized, and the model has strong universality and applicability, which can be used in intelligent error compensation technology.

关 键 词：运动误差 神经网络 误差模型 

分 类 号：TG502.12[金属学及工艺—金属切削加工及机床] TP183[自动化与计算机技术—控制理论与控制工程]