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基于互相关法的双热电偶传感器盲系统辨识

Blind system identification of two-thermocouple sensor based on cross-relation method.

作者信息

Li Yanfeng, Zhang Zhijie, Hao Xiaojian

机构信息

School of Instrument and Electronics, North University of China, Taiyuan, Shanxi 030051, China.

出版信息

Rev Sci Instrum. 2018 Mar;89(3):034901. doi: 10.1063/1.5019965.

Abstract

In dynamic temperature measurement, the dynamic characteristics of the sensor affect the accuracy of the measurement results. Thermocouples are widely used for temperature measurement in harsh conditions due to their low cost, robustness, and reliability, but because of the presence of the thermal inertia, there is a dynamic error in the dynamic temperature measurement. In order to eliminate the dynamic error, two-thermocouple sensor was used to measure dynamic gas temperature in constant velocity flow environments in this paper. Blind system identification of two-thermocouple sensor based on a cross-relation method was carried out. Particle swarm optimization algorithm was used to estimate time constants of two thermocouples and compared with the grid based search method. The method was validated on the experimental equipment built by using high temperature furnace, and the input dynamic temperature was reconstructed by using the output data of the thermocouple with small time constant.

摘要

在动态温度测量中,传感器的动态特性会影响测量结果的准确性。热电偶因其成本低、坚固耐用且可靠性高,而被广泛应用于恶劣条件下的温度测量,但由于存在热惯性,在动态温度测量中会产生动态误差。为了消除动态误差,本文采用双热电偶传感器在等速流动环境中测量动态气体温度。基于互相关法对双热电偶传感器进行了盲系统辨识。采用粒子群优化算法估计两个热电偶的时间常数,并与基于网格的搜索方法进行比较。该方法在利用高温炉搭建的实验装置上得到了验证,并利用小时间常数热电偶的输出数据重建了输入动态温度。

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