Integrated modeling of coking flue gas indices based on mechanism model and improved neural network
文献类型：期刊论文
| 作者 | Li, Yaning1,2 ; Wang, Xuelei1; Tan, Jie1
|
| 刊名 | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
 |
| 出版日期 | 2019 |
| 卷号 | 41期号:1页码:85-96 |
| ISSN号 | 0142-3312 |
| 关键词 | Coking process control neural network (NN) mechanism model integrated modeling |
| 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/25293]  |
| 专题 | 综合信息系统研究中心_工业智能技术与系统 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。