控制理论与应用2025，Vol.42Issue(10)：1914-1924,11.DOI:10.7641/CTA.2024.30736
大规格尖端铝合金锻件温度场协同解耦控制
Cooperative decoupling control of temperature field of large-size and cutting-edge aluminum alloy forgings
摘要
Abstract
The temperature inside a large vertical quenching furnace is the primary factor determining the performance of large-scale advanced aluminum alloy forgings.To address the issue that traditional quenching furnace temperature con-trol methods cannot overcome the effects of multi-zone coupled heat transfer,thereby failing to achieve the objective of uniform temperature field control over large scales,this paper first constructs a temperature field model inside the furnace.It proposes a time-domain finite element extrapolation method,which uses the finite element method to calculate tem-perature results at different time steps.By combining these results with the derived time-domain extrapolation formula,it achieves high-precision,high-efficiency temperature prediction for aluminum alloy forgings.Subsequently,it intro-duces a variable-structure neural network integrating fast clustering of characteristic vectors and competitive learning.This network,combined with the predicted temperatures,adjusts the controller parameters in real time to achieve multi-zone coordinated decoupling control.Finally,simulation experiments verify that the proposed method achieves a temperature control error of less than±2℃.关键词
大型铝合金锻件/大尺度温度场/有限元法/外推法/智能解耦Key words
large-size aluminum/large scale temperature field/finite element method/extrapolation/intelligent decou-pling引用本文复制引用
黄嘉庆,沈玲,贺建军,吴婧祎..大规格尖端铝合金锻件温度场协同解耦控制[J].控制理论与应用,2025,42(10):1914-1924,11.基金项目
国家自然科学基金项目(62203167,62373377),湖南省自然科学基金项目(2023JJ30413)资助.Supported by the National Natural Science Foundation of China(62203167,62373377)and the Provincial Natural Science Foundation of Hunan Province(2023JJ30413). （62203167,62373377）
