双轮摩擦仪测量模型的共源激励动态标定方法

荆根强,郭鸿博,刘璐,段发阶,张冰

计量学报 ›› 2019, Vol. 40 ›› Issue (6) : 1071-1076.

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计量学报 ›› 2019, Vol. 40 ›› Issue (6) : 1071-1076. DOI: 10.3969/j.issn.1000-1158.2019.06.21
力学计量

双轮摩擦仪测量模型的共源激励动态标定方法

  • 荆根强1,2,郭鸿博2,刘璐2,段发阶1,张冰2
作者信息 +

Dynamic Calibration Method of Dual-wheel Friction Tester′s Measuring Model Based on Co-excitation Source

  • JING Gen-qiang1,2,GUO Hong-bo2,LIU Lu2,DUAN Fa-jie1,ZHANG Bing2
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文章历史 +

摘要

为解决双轮式摩擦仪测量模型参数的动态标定问题,提出了基于共激励源的模型参数动态标定方法,设计了反力约束型动态标定装置,通过共激励源条件下的数据序列匹配,建立双轮式摩擦仪力传感器和参考力传感器之间的数据映射关系,利用分组回归及二维最优化方法确定测量模型参数。试验表明,所提方法可有效实现双轮式摩擦仪测量模型参数的动态求解,对仪器动态试验过程中的运动状态转变具有良好的适应性,拟合的残差平方和比直接对校准全过程进行最小二乘法拟合的残差平方和减小50%以上。

Abstract

To characterize the measurement model of dual-wheel friction testers, the dynamic calibration method based on co-excitation source was proposed. In the method, counterforce constraint based dynamic calibration device was used for data collection, then data sequences matching was done, and mapping relation between the dataset of the objective sensor and that of the reference sensor was obtained. Finally, the parameters of measurement model were confirmed by grouping regression analysis and 2D optimization. The experimental results showed that the proposed method can achieve dynamic calibration of the dual-wheel friction tester′s measurement model with good adaptation to the variation of its state of motion. The residual sum of squares of fitting with the proposed method was reduced by over 50% comparing with the globle least square method.

关键词

计量学 / 摩擦测量 / 双轮式摩擦仪 / 动态标定 / 测量模型

Key words

metrology / friction meaurement / dual-wheel friction tester / dynamic calibration / measuring model

引用本文

导出引用
荆根强,郭鸿博,刘璐,段发阶,张冰. 双轮摩擦仪测量模型的共源激励动态标定方法[J]. 计量学报. 2019, 40(6): 1071-1076 https://doi.org/10.3969/j.issn.1000-1158.2019.06.21
JING Gen-qiang,GUO Hong-bo,LIU Lu,DUAN Fa-jie,ZHANG Bing. Dynamic Calibration Method of Dual-wheel Friction Tester′s Measuring Model Based on Co-excitation Source[J]. Acta Metrologica Sinica. 2019, 40(6): 1071-1076 https://doi.org/10.3969/j.issn.1000-1158.2019.06.21
中图分类号: TB931   

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基金

国家重点研发计划(2017YFF0206305); 中央级公益性科研院基本科研业务费重点项目(2017-9057)

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