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
Sen Zhang2
Jin Guo1
Zhiqiang Li1
Zhenquan Zhang3
1.School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory of Knowledge Automation for Industrial Processes,Ministry of Education,Beijing 100083,China2.School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China3.Hesteel Group Company Limited,Shijiazhuang 050031,Hebei,China
摘要：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℃.
机标关键词：correlationdistributedcontroloptimalrollingspatialmodelwith
论文发表日期：2023-05-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：22( 190-211 )
英文信息