Integrated modeling of coking flue gas indices based on mechanism model and improved neural network

doi:10.1177/0142331218754621

	Integrated modeling of coking flue gas indices based on mechanism model and improved neural network
	Li, Yaning1,2 ; Wang, Xuelei1 ; Tan, Jie1
刊名	TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
	2019
卷号	41 期号:1 页码:85-96
关键词	Coking process control neural network (NN) mechanism model integrated modeling
ISSN号	0142-3312
DOI	10.1177/0142331218754621
通讯作者	Wang, Xuelei(Xlwang98@sina.com)
英文摘要	Focusing on the first domestic coking flue gas desulfurization and denitration integrated unit in China, the current condition of inlet flue gas indices cannot be determined timely owing to the large detection lag and complex upstream coking process, which is extremely unfavorable for the optimal control of desulfurization and denitration process. In order to solve this problem, an intelligent integrated modeling method of flue gas SO2 concentration, O-2 content and NOx concentration is proposed. Firstly, the gas flow diagram in combustion process is built, the mechanism models of SO2, NOx concentration and O-2 content are established according to the principle of material balance and reaction kinetics, respectively. Then the RBF neural network is adopted to compensate the prediction error, an improved training algorithm combining optimal stopping principle and dual momentum adaptive learning rate is proposed to improve the training speed and generalization ability of neural network. Based on the practical data of two 55-hole and 6-meter top charging coke ovens in the coking group, the effectiveness and superiority of proposed model and method are verified by simulation via comparison of various methods.
资助项目	National Natural Science Foundation of China[U1701262] ; Ministry of Industry and Information Technology of China[2016ZXFM06005]
WOS研究方向	Automation & Control Systems ; Instruments & Instrumentation
语种	英语
出版者	SAGE PUBLICATIONS LTD
WOS记录号	WOS:000457923800009
资助机构	National Natural Science Foundation of China ; Ministry of Industry and Information Technology of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25293]
专题	中国科学院自动化研究所自动化研究所_综合信息系统研究中心
通讯作者	Wang, Xuelei
作者单位	1.Chinese Acad Sci, Inst Automat, 95 East Zhongguancun Rd, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Yaning,Wang, Xuelei,Tan, Jie. Integrated modeling of coking flue gas indices based on mechanism model and improved neural network[J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL,2019,41(1):85-96.
APA	Li, Yaning,Wang, Xuelei,&Tan, Jie.(2019).Integrated modeling of coking flue gas indices based on mechanism model and improved neural network.TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL,41(1),85-96.
MLA	Li, Yaning,et al."Integrated modeling of coking flue gas indices based on mechanism model and improved neural network".TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 41.1(2019):85-96.