模型辨识在氢氟化系统先进控制中的应用研究  

Application of Model Identification in Advanced Control of Hydrofluoridation System

作　　者：刘琛 李雪 郑芳 张瑜 李雷 LIU Chen;LI Xue;ZHENG Fang;ZHANG Yu;LI Lei(CNNC No.7 Research and Design institute Co LTD,Taiyuan,030032,China)

机构地区：[1]中核第七研究设计院有限公司,太原030032

出　　处：《核电子学与探测技术》2025年第1期101-106,共6页Nuclear Electronics & Detection Technology

基　　金：国防科技工业局核能开发科研项目(KY2019)资助。

摘　　要：针对铀纯化转化生产中非线性、大迟延、多变量耦合程度高的氢氟化系统生产流程,采用递推最小二乘辨识算法,建立氢氟化系统中相关被控对象的数学模型,进而优化控制系统相关参数。通过对比采用了模型辨识的先进控制系统与原控制系统的仿真结果,验证了模型辨识在先进控制中的重要性、优越性、可行性,对改善复杂系统的控制效果具有重要意义。According to the production process of hydrofluorination system with nonlinear,large delay and high multivariable coupling degree in uranium purification conversion production,the recursive least squares identification algorithm is adopted to establish the mathematical model of the relevant controlled objects in the hydrofluorination system,and then optimize the relevant parameters of the control system.By comparing the simulation results of the advanced control system with model identification and the original control system,the importance,superiority and feasibility of model identification in advanced control are verified,which is of great significance to improve the control effect of the complex system.

关 键 词：模型辨识 参数优化 先进控制 氢氟化系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]