基于分段线性插值法的应变片式扭矩传感器的温度补偿
DOI:
作者:
作者单位:

东华大学信息科学与技术学院 上海 201620)

作者简介:

通讯作者:

中图分类号:

TP212

基金项目:

国家自然科学基金项目(61274078)、中国纺织工业联合会“纺织之光”应用基础研究项目(J201608)资助


Temperature compensation of strain gauge torque sensor based on piecewise linear interpolation method
Author:
Affiliation:

College of Information Science and Technology, Donghua University, Shanghai 201620, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    本文针对应变片式扭矩传感器的温度漂移现象,建立基于分段线性插值法的温度补偿模型,将扭矩和温度的二维标定数据嵌入到数据融合软件算法中,根据精度要求分为多个不同区间并将区间内的标定点代入线性表达式,输出预测扭矩值,从而实时矫正该传感器扭矩随温度的漂移,使其具有温度自补偿功能。研究结果表明,利用分段线性插值法补偿后该传感器的灵敏度温度系数由提升至,温度附加误差相对值由2.67%提升至0.5%,均提升了5倍以上。该方法简单有效,实现了扭矩传感器的实时温度补偿,提高了扭矩传感器的温度稳定性。

    Abstract:

    Aiming at the temperature drift phenomenon of strain gauge torque sensor, the temperature compensation model based on piecewise linear interpolation method was established, and the two-dimensional calibration data of torque and temperature were embedded into the data fusion software algorithm. According to the accuracy requirement, the data was divided into multiple different intervals and the calibration points in the intervals were replaced into the linear expression. Then the predicted torque value was output. In this way, the temperature drift of the torque sensor was corrected in real time, so that the sensor has the function of temperature self-compensation. The results show that after compensation by piecewise linear interpolation, the sensitivity temperature coefficient of the sensor is increased from to , and the relative value of temperature additional error is increased from 2.67% to 0.5%, both of which are increased by more than 5 times. The method is simple and effective. The real-time temperature compensation of torque sensor has been realized, and the temperature stability of torque sensor has been improved.

    参考文献
    相似文献
    引证文献
引用本文

张紫嫣,卢文科,左 锋,丁 勇.基于分段线性插值法的应变片式扭矩传感器的温度补偿[J].电子测量技术,2022,45(8):143-147

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-05-10
  • 出版日期: