基于IBAS-SCA算法的RTO炉燃烧系统辨识模型  

Identification Model of RTO Furnace Combustion System Based on IBAS-SCA Algorithm

作　　者：骆东松[1] 苗鹏鑫 梁亚鹏 LUO Dongsong;MIAO Pengxin;LIANG Yapeng(School of Electrical Engineering and Information Engineering,Lanzhou University of Technology,Lanzhou 730050)

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州730050

出　　处：《舰船电子工程》2025年第3期97-101,125,共6页Ship Electronic Engineering

摘　　要：建立蓄热式氧化炉的准确模型对于提升氧化炉燃烧系统的控制性能非常关键。然而,现有的建模方法很难处理待调参数过多、非线性、多变量的复杂系统。基于上述问题,论文提出了一种基于改进天牛须融合正余弦双重优化算法(IBAS-SCA)的蓄热式氧化炉的辨识模型。结果表明,相对于传统建模方法,论文提出的IBAS-SCA算法能够建立更准确的蓄热式氧化炉模型,并具有更好的收敛性能,为系统模型的快速辨识提供了新的途径,对于优化蓄热式氧化炉的燃烧系统控制具有重要意义。Establishing an accurate model of a regenerative oxidizer is critical for improving the control performance of the oxi-dizer combustion system.However,existing modeling methods are difficult to deal with complex systems with too many parameters to be tuned,nonlinear and multivariable.Based on the above problems,this paper proposes an identification model of a heat storage oxidizer based on the Improved Bull's Whisker Fused Sine-Cosine Dual Optimization Algorithm(IBAS-SCA).The results show that compared with the traditional modeling method,the IBAS-SCA algorithm proposed in this paper can establish a more accurate mod-el of the thermal storage oxidizer with better convergence performance,which provides a new way for the rapid identification of the system model,is of great significance for the optimization of the combustion system control of the thermal storage oxidizer.

关 键 词：蓄热式氧化炉 燃烧系统 系统辨识 天牛须算法 正余弦算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]