[1]杨铁强.工业炉套筒式炉管内膜温度偏差平衡控制算法研究[J].工业仪表与自动化装置,2025,(03):97-101.[doi:10.19950/j.cnki.CN61-1121/TH.2025.03.018]
　YANG Tieqiang.Efficient control algorithm for temperature deviation balance in regenerative industrial furnace sleeve tube inner membrane[J].Industrial Instrumentation & Automation,2025,(03):97-101.[doi:10.19950/j.cnki.CN61-1121/TH.2025.03.018]
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工业炉套筒式炉管内膜温度偏差平衡控制算法研究()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2025年03期
页码:
97-101
栏目:
出版日期:
2025-06-15

文章信息/Info

Title:
Efficient control algorithm for temperature deviation balance in regenerative industrial furnace sleeve tube inner membrane
文章编号:
1000-0682（2025）03-0097-05
作者:
杨铁强
国能粤电台山发电有限公司，广东 江门 529228
Author(s):
YANG Tieqiang
(CHN ENERGY TAISHAN POWER Plant, Guangdong Jiangmen, 529228)
关键词:
高效蓄热式工业炉; 套筒式炉管; 温度偏差; 平衡控制; 温度补偿
Keywords:
efficient regenerative industrial furnace;  sleeve type furnace tube;  temperature deviation;  balance control;  temperature compensation
分类号:
TN976
DOI:
10.19950/j.cnki.CN61-1121/TH.2025.03.018
文献标志码:
A
摘要:
由于蓄热式工业炉套筒式炉管内膜的热源分布不均匀且材料热导率差异显著，严重影响了炉内温度场的均匀性，从而导致内膜温度出现偏差。为此，提出高效蓄热式工业炉套筒式炉管内膜温度偏差平衡控制算法。根据套筒式炉管的结构和初始温度分布，利用传递函数设定内膜温度场模型的边界条件和初始条件，结合一阶滞后函数构建内膜温度场模型，联立炉管内膜热阻和热平衡方程，推导内膜的传热系数，进而求取内膜超标温度，基于此，引入模糊神经网络计算内膜温度补偿值，以此实现温度偏差平衡控制。实验结果表明，在所提方法的应用下，温度偏差控制结果的超调量始终保持在0.2 ℃以下，控制精度较高。
Abstract:
Due to the uneven distribution of heat sources and significant differences in material thermal conductivity within the inner lining of the furnace tube, the uniformity of the temperature field inside the furnace is severely affected, resulting in deviations in the inner lining temperature. Therefore, an efficient thermal storage industrial furnace sleeve furnace tube inner membrane temperature deviation balance control algorithm is proposed. Based on the structure and initial temperature distribution of the sleeve type furnace tube, the boundary conditions and initial conditions of the inner membrane temperature field model are set using the transfer function. The inner membrane temperature field model is constructed by combining the first-order lag function. The inner membrane thermal resistance and thermal balance equation of the furnace tube are combined to derive the heat transfer coefficient of the inner membrane, and then the excessive temperature of the inner membrane is calculated. Based on this, a fuzzy neural network is introduced to calculate the inner membrane temperature compensation value, thereby achieving temperature deviation balance control. The experimental results show that under the application of the proposed method, the overshoot of temperature deviation control results remains below 0.2 ℃, indicating high control accuracy.

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备注/Memo

备注/Memo:
收稿日期：2024-09-20第一作者：杨铁强（1979—），男，吉林长春人，汉族，硕士，高级工程师，主要从电力技术研究。E-mail：yangtieqiang1979@163.com
更新日期/Last Update: 1900-01-01