Generalized Predictive Control of Converter Inlet Temperature in the Process of Acid Production with Flue Gas

被引：1
|
作者：
Liu, Minghua [1 ]
Li, Xiaoli [1 ,2 ,3 ]
Wang, Kang [1 ]
机构：
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[2] Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
[3] Minist Educ, Engn Res Ctr Digital Community, Beijing 100124, Peoples R China
来源：
2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
CARIMA model; generalized predictive control; acid production; tracking control;
D O I：
10.1109/DDCLS58216.2023.10165814
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The effective control of converter inlet temperature in the process of acid production with flue gas is an effective means to improve the conversion rate of sulfur dioxide and reduce environmental pollution. According to the characteristics of the process of acid production with flue gas, the control process of converter inlet temperature is studied in this paper. Firstly, the CARIMA (Controlled auto-regressive integrated moving average, CARIMA) model of converter inlet temperature is established. Then, a generalized predictive controller based on CARIMA model is designed. Finally, the proposed method is verified by experiment and compared with PID controller. Experimental results show that the proposed method has a better tracking effect and smaller error. The effectiveness of the proposed method is verified.
引用
收藏
页码：782 / 786
页数：5
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