基于单温度传感器的数控机床主轴热误差建模方法研究  

Research on Thermal Error Modeling Method of CNC Machine Tool Spindle Based on Single Temperature Sensor

作　　者：林伟铖 尹玲[2,3] 张斐 吕峥 LIN Weicheng;YIN Ling;ZHANG Fei;LYU Zheng(School of Computer Science and Technology,Dongguan University of Technology,Dongguan Guangdong 523808,China;Sino-French Joint College,Dongguan University of Technology,Dongguan Guangdong 523808,China;Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment,Hunan University of Science and Technology,Xiangtan Hunan 411201,China;School of Mechanical Engineering,Dongguan University of Technology,Dongguan Guangdong 523808,China)

机构地区：[1]东莞理工学院计算机科学与技术学院,广东东莞523808 [2]东莞理工学院中法联合学院,广东东莞523808 [3]湖南科技大学机械设备健康维护湖南省重点实验室,湖南湘潭411201 [4]东莞理工学院机械工程学院,广东东莞523808

出　　处：《机床与液压》2023年第13期58-62,共5页Machine Tool & Hydraulics

基　　金：机械设备健康维护湖南省重点实验室开放基金资助(21903);广东省普通高校机器人与智能装备重点实验室(2017KSYS009);东莞理工学院机器人与智能装备创新中心(KCYCXPT2017006)。

摘　　要：为了提高热误差模型的预测精度和减少布置在机床内部的温度传感器数量,提出一种基于单个温度传感器数据的主轴轴向热误差辨识模型。该模型的输入由单个温度传感器采集的数据处理生成,内部参数少,利用智能优化算法的全局寻优能力辨识模型参数,减少人工干预,使得模型泛化性更强。以某型号三轴机床为实验对象,通过机床切削工件,验证模型辨识效果。通过与神经网络主轴热误差预测模型对比分析及实验验证,结果表明:提出的热误差模型预测主轴轴向热误差的残差较小,预测精度较高,且具有内部参数少和泛化能力强等优点,可支持数控机床的集成应用。In order to improve the prediction accuracy of the thermal error model and reduce the number of temperature sensors arranged inside the machine tool,a spindle axial thermal error identification model based on the data of a single temperature sensor was proposed.The input of the model was generated by processing the data collected by a single temperature sensor,and there were few internal parameters.The global optimization ability of the intelligent optimization algorithm was used to identify the model parameters,reduce manual intervention,and make the model more generalizable.Taking a certain type of three-axis machine tool as the experimental object,the model identification effect was verified by cutting workpiece with the machine tool.Through comparative analysis and experimental verification with the neural network spindle thermal error prediction model,the results show that the proposed thermal error model has a small residual error in predicting the axial thermal error of the main shaft,high prediction accuracy,and has the advantages of less internal parameters and strong generalization ability,can support the integrated application of CNC machine tools.

关 键 词：热误差补偿 单温度传感器 遗传算法 参数辨识 

分 类 号：TH161[机械工程—机械制造及自动化]