热力发电2025，Vol.54Issue(8)：72-83,12.DOI:10.19666/j.rlfd.202505091
基于机理与数据的液氨气化系统动态建模与控制
Dynamic modeling and control of liquid ammonia gasification system based on mechanism and data
摘要
Abstract
Ammonia,as a low-carbon fuel,has important application prospects in the field of industrial combustion.However,the dynamic characteristics of liquid ammonia gasification process are complex,and conventional mechanism models are difficult to meet high-precision control requirements.To address the problem of unstable control caused by insufficient modeling accuracy in the liquid ammonia gasification process in ammonia combustion systems,a dynamic modeling method that combines mechanism with data fusion is proposed.By establishing a nonlinear mechanism model based on thermodynamic laws,and combining with a data-driven model based on recursive fuzzy C-means(RFCM)clustering and recursive least square(RLS)algorithm,a hybrid dynamic model with adaptive weight optimization is constructed.On this basis,decoupling control strategies are developed to achieve precise control of the gasification systems.Experimental verification shows that,the proposed model significantly improves the prediction accuracy of the gasification process,and the decoupling control scheme based on this dynamic model achieves stable ammonia supply,verifying the effectiveness and engineering practicality of the dynamic model that integrates mechanism and data for the control system.This method provides an effective solution for intelligent control of ammonia fuel combustion systems and has promotional value for the engineering application of clean energy technology.关键词
煤氨混合燃烧/液氨气化/动态建模/RFCM-RLS算法/解耦控制/仿真分析Key words
coal-ammonia coupled combustion/liquid ammonia gasification/dynamic modeling/RFCM-RLS algorithm/decoupling control/simulation analysis引用本文复制引用
刘渊,崔立明,初伟,周末,崔子健,王印松..基于机理与数据的液氨气化系统动态建模与控制[J].热力发电,2025,54(8):72-83,12.基金项目
国家科技支撑计划项目(GJNY-2023-9) National Science and Technology Infrastructure Project(GJNY-2023-9) （GJNY-2023-9）
