探测与控制学报2024,Vol.46Issue(3) :79-85.

基于改进天鹰优化算法的热电偶动态补偿方法

Application of Improved Aquila Optimizer in Thermocouple Dynamic Compensation

贺俊 李新娥 崔春生 何玉洁
探测与控制学报2024,Vol.46Issue(3) :79-85.

基于改进天鹰优化算法的热电偶动态补偿方法

Application of Improved Aquila Optimizer in Thermocouple Dynamic Compensation

贺俊 1李新娥 1崔春生 1何玉洁1
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作者信息

  • 1. 中北大学省部共建动态测试技术国家重点实验室,山西 太原 030051;中北大学电气与控制工程学院,山西 太原 030051
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摘要

为解决因热电偶时间常数大,不能准确反映被测温度瞬态变化的问题,提出基于改进天鹰优化算法(IAO)的热电偶动态补偿方法.通过引入Sobol序列初始化种群与动态反向学习策略对天鹰优化算法(AO)进行改进,对实测热电偶动态响应数据进行补偿实验.实验结果表明,经改进算法补偿后,热电偶时间常数由 0.097 s缩短至 0.009 s,减少近 90.7%.IAO补偿可以有效改善热电偶动态特性,减小动态误差.

Abstract

In order to solve the problem that the thermocouple time constant is too large to reflect the transient change of measured temperature,a dynamic compensation method of thermocouple based on improved aquila op-timizer(IAO)was proposed in this paper.The aquila optimizer(AO)was improved by introducing Sobol se-quence initialization population and dynamic reverse learning strategy.The experimental results showed that the time constant of the thermocouple was reduced from 0.097 s to 0.009 s,which was nearly 90.7%.The dynamic compensation system obtained by IAO optimization effectively improved the dynamic characteristics of the ther-mocouple sensor and reduced the dynamic error of the thermocouple sensor.

关键词

天鹰优化算法/热电偶/动态补偿

Key words

aquila optimizer/dynamic compensation/thermocouple sensor

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出版年

2024
探测与控制学报
中国兵工学会 西安机电信息研究所 机电工程与控制国家级重点实验室

探测与控制学报

CSTPCDCSCD北大核心
影响因子:0.267
ISSN:1008-1194
参考文献量16
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