控制与信息技术Issue(2)：38-48,11.DOI:10.13889/j.issn.2096-5427.2026.02.004
融合DID-Transformer与KAN的直流锅炉冷态启动智能控制策略
Intelligent Control Strategy for Cold Start-Up of Once-Through Boilers Based on the Fusion of DID-Transformer and KAN
摘要
Abstract
The cold start-up process of once-through boilers used for thermal power units poses challenges to traditional strategies to achieve precise and efficient automatic control,due to large time delays,strong nonlinearity,and multivariable coupling.To address these challenges,an intelligent control strategy fusing a deep iterative decomposition Transformer(DID-Transformer)and a Kolmogorov-Arnold network(KAN)is proposed.First,the DID-Transformer is constructed to accurately predict the trends of key boiler state variables for the upcoming minute.Subsequently,the KAN is employed to fit the nonlinear mapping relationship between state variables and control inputs;based on the predicted values,an optimal coal feeding command is deduced to allow for anticipatory boiler regulation.Simulation verification was conducted based on real operational data from a 350 MW unit.Simulation results demonstrate that,compared to the baseline control strategy fusing Transformer and multi-layer perceptron(MLP),the proposed strategy reduces closed-loop tracking errors of the main steam temperature change rate by 17.0%and decreases the cumulative amplitude of coal-feeding command adjustments by 76.4%,effectively enhancing the control quality and automation level of the cold start-up process for once-through boilers.关键词
直流锅炉/冷态启动/智能控制/Transformer模型/柯尔莫戈洛夫-阿诺德网络Key words
once-through boiler/cold start-up/intelligent control/Transformer/Kolmogorov-Arnold network分类
信息技术与安全科学引用本文复制引用
鲁永明,郑智腾,谭祥帅,黄从智..融合DID-Transformer与KAN的直流锅炉冷态启动智能控制策略[J].控制与信息技术,2026,(2):38-48,11.基金项目
中央高校基本科研业务费专项资金资助(2025JC003) （2025JC003）
