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Thermal Error Modeling of the CNC Machine Tool Based on Data Fusion Method of Kalman Filter

机译：基于卡尔曼滤波数据融合方法的数控机床热误差建模

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摘要

This paper presents a modeling methodology for the thermal error of machine tool. The temperatures predicted by modified lumped-mass method and the temperatures measured by sensors are fused by the data fusion method of Kalman filter. The fused temperatures, instead of the measured temperatures used in traditional methods, are applied to predict the thermal error. The genetic algorithm is implemented to optimize the parameters in modified lumped-mass method and the covariances in Kalman filter. The simulations indicate that the proposed method performs much better compared with the traditional method ofMRA, in terms of prediction accuracy and robustness under a variety of operating conditions. A compensation system is developed based on the controlling system of Siemens 840D. Validated by the compensation experiment, the thermal error after compensation has been reduced dramatically.
机译：本文提出了一种用于机床热误差的建模方法。改进的集总质量方法预测的温度和传感器测量的温度通过卡尔曼滤波器的数据融合方法融合。代替传统方法中使用的测得温度，将熔化温度用于预测热误差。采用遗传算法对改进的集总质量方法中的参数和卡尔曼滤波器中的协方差进行优化。仿真表明，在多种操作条件下，该方法的预测精度和鲁棒性均优于传统的MRA方法。基于西门子840D的控制系统开发了补偿系统。通过补偿实验验证，补偿后的热误差已大大降低。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第6期|3847049.1-3847049.10|共10页
  • 作者

    Wang Haitong; Li Tiemin; Cai Yonglin; Wang Heng;

  • 作者单位

    Beijing Jiaotong Univ, Dept Mech Elect & Control Engn, Beijing, Peoples R China|Minist Educ, Key Lab Vehicle Adv Mfg Measuring & Control Techn, Beijing, Peoples R China;

    Tsinghua Univ, Dept Mech Engn, Beijing, Peoples R China;

    Beijing Jiaotong Univ, Dept Mech Elect & Control Engn, Beijing, Peoples R China|Minist Educ, Key Lab Vehicle Adv Mfg Measuring & Control Techn, Beijing, Peoples R China;

    Beijing Jiaotong Univ, Dept Mech Elect & Control Engn, Beijing, Peoples R China|Minist Educ, Key Lab Vehicle Adv Mfg Measuring & Control Techn, Beijing, Peoples R China;

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