Application of improved grey wolf algorithm in dynamic compensation of thermocouple

被引：0
|
作者：
Han T.-L. [1 ]
Zhang Y.-X. [1 ]
Wang X. [1 ]
Zhang E.-K. [1 ]
机构：
[1] College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun
来源：
Wang, Xiao (wangx_work@126.com) | 1600年 / Northeast University卷 / 36期
关键词：
Data processing; Dynamic compensation; Dynamic weight; Grey wolf optimization algorithm; Thermocouple sensor;
D O I：
10.13195/j.kzyjc.2019.0688
中图分类号：
学科分类号：
摘要：
In order to solve the problem of the dynamic error affecting the test accuracy of the thermocouple sensor during the transient temperature test, the dynamic compensation method of the thermocouple sensor based on the improved gray wolf optimization (IGWO) algorithm is proposed. The gray wolf optimization (GWO) algorithm is improved by changing the candidate solution generation strategy and introducing the dynamic weighting factor, thereby further improving the time constant of the thermocouple sensor. According to the thermocouple sensor water bath method calibration data to obtain the compensation system transfer function, and experiments on the actual measured flame data is performed. The experimental results show that the time constant of the water bath calibration data is increased from 0.068 5 s to 0.014 7 s, and the dynamic error is reduced by nearly 75 %. The dynamic compensation system obtained by IGWO optimization effectively improves the dynamic characteristics of the thermocouple sensor and reduces the dynamic error of the thermocouple sensor. Copyright ©2021 Control and Decision.
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页码：61 / 67
页数：6
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