quotation:[Copy]
Qingfeng Bao1,2,Sen Zhang1,et al.[en_title][J].Control Theory and Technology,2023,21(2):190~211.[Copy]
【Print page】 【Online reading】【Download 【PDF Full text】 View/Add CommentDownload reader Close

←Previous page|Page Next →

Back Issue    Advanced search

This Paper:Browse 516   Download 0 本文二维码信息
码上扫一扫!
Optimal control for spatial-temporal distributed nonlinear autoregressive with exogenous inputs correlation model of steel rolling reheating furnace: a coordinated time-sharing control approach
QingfengBao1,2,SenZhang1,JinGuo1,2,ZhiqiangLi1,2,ZhenquanZhang3
0
(1 School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China 2 Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China;3 Hesteel Group Company Limited, Shijiazhuang 050031, Hebei, China)
摘要:
关键词:  
DOI:https://doi.org/10.1007/s11768-023-00138-x
基金项目:This work was supported by the National Natural Science Foundation of China (Nos. 62173032 and 62003038).
Optimal control for spatial-temporal distributed nonlinear autoregressive with exogenous inputs correlation model of steel rolling reheating furnace: a coordinated time-sharing control approach
Qingfeng Bao1,2,Sen Zhang1,Jin Guo1,2,Zhiqiang Li1,2,Zhenquan Zhang3
(1 School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China 2 Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China;3 Hesteel Group Company Limited, Shijiazhuang 050031, Hebei, China)
Abstract:
Accurate control of slab temperature and heating rate is an important significance to improve product performance and reduce carbon emissions for steel rolling reheating furnace (SRRF). Firstly, a spatial temporal distributed–nonlinear autoregressive with exogenous inputs correlation model (STD-NARXCM) to spatial temporal distributed–autoregressive with exogenous inputs correlation model (STD-ARXCM) in working point is established. Secondly, a new coordinated time-sharing control architecture in different time periods is proposed, which is along the length of the SRRF to improve the control performance. Thirdly, a hybrid control algorithm of expert-fuzzy is proposed to improve the dynamic of the temperature and the heating rate during time period 0 to t1. A hybrid control algorithm of expert-fuzzy-PID is proposed to enhance the control accuracy and the heating rate during time period t1 to t2. A hybrid control algorithm of expert-active disturbance rejection control (ADRC) is proposed to boost the anti-interference and the heating rate during time period t2 to t3. Finally, the experimental results show that the coordinated time-sharing algorithm can meet the process requirements, the maximum deviation of temperature value is 8–13.5?C.
Key words:  Steel rolling reheating furnace · Spatial-temporal distribution · Coordinated time-sharing control · Controller structure in different periods · Hybrid control algorithm