PT1000 resistance acquisition interface in airborne electromechanical system computer is commonly used to measure the temperature of aircraft electromechanical system. Due to the inherent error characteristics of components in the PT1000 resistance acquisition circuit, the PT1000 resistance acquisition function faces challenges of low precision, which affects the accuracy of the temperature measurement of the electromechanical system. This paper proposes a software correction method for the PT1000 resistance acquisition interface. By statistically analyzing the original collected data, the range of the PT1000 resistance acquisition function is divided into multiple segments. A segmented function model is established to fit the calibration coefficients of each segment, and the calibration coefficients are used to perform targeted compensation and correction on the acquisition results according to different segments. Through experimental verification, the method proposed in this paper can reduce the error level of the PT1000 resistance acquisition function from ± 4 to ± 1%, significantly improving the acquisition accuracy.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

A Segmented Software Correction Method for PT1000 Resistance Acquisition Interface

  • Xin Guo,
  • Jun Zhao,
  • Liu Yang

摘要

PT1000 resistance acquisition interface in airborne electromechanical system computer is commonly used to measure the temperature of aircraft electromechanical system. Due to the inherent error characteristics of components in the PT1000 resistance acquisition circuit, the PT1000 resistance acquisition function faces challenges of low precision, which affects the accuracy of the temperature measurement of the electromechanical system. This paper proposes a software correction method for the PT1000 resistance acquisition interface. By statistically analyzing the original collected data, the range of the PT1000 resistance acquisition function is divided into multiple segments. A segmented function model is established to fit the calibration coefficients of each segment, and the calibration coefficients are used to perform targeted compensation and correction on the acquisition results according to different segments. Through experimental verification, the method proposed in this paper can reduce the error level of the PT1000 resistance acquisition function from ± 4 to ± 1%, significantly improving the acquisition accuracy.