不锈钢铸坯宽度优化控制模型研究及应用

doi:10.13228/j.boyuan.issn0449-749x.20210230

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Abstract The accurate control of slab width is one of the important factors to ensure slab quality in the continuous casting process. The slab width is too wide or too narrow will bring adverse effects to the rolling process. At present,the slab width is mainly controlled by adjusting parameters of the secondary cooling zone online by manual experience,which has the problems of low qualified rate and large fluctuation. Therefore,it is very important to realize automatic optimization control of slab width for stainless steel. Aiming at the characteristics of high dimension and nonlinear and multivariable coupling in the process control of slab width for stainless steel,an optimal control model of slab width based on the random forest and differential evolution(RF-DE) algorithm is proposed. Firstly,the factors affecting the slab width are selected from a large number of composition and process parameters based on expert experience,and then a data-driven prediction model of slab width is established by the random forest algorithm. Secondly,taking the secondary cooling process parameters of continuous casting as the decision variable,taking the absolute error between the predicted width of the prediction model and the target width of the slab as the objective function,the optimal control model of slab width with process constraints is constructed,and the differential evolution algorithm is used to optimize the above model,obtain the secondary cooling process parameters of continuous casting. Finally,the model is verified by the actual production data of a steel plant,and the experimental results show that compared with gradient boosting decision tree,support vector regression,multilayer perceptron and other models,random forest model has strong generalization ability and high accuracy, and is more suitable for the prediction of slab width,the mean absolute error is 0.047 2 mm. Moreover,the qualified rate of slab width for stainless steel is increased,and the proposed model has high control precision.

Key words： stainless steel slab width random forest differential evolution optimal control

Received: 22 April 2021

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	LI Wei-gang
	CHUN Li-liang
	LI Yang
	YI Cheng-xin

Cite this article:

LI Wei-gang,CHUN Li-liang,LI Yang等. Research and application of optimal control model for slab width of stainless steel[J]. Iron and Steel, 2021, 56(12): 75-84.

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http://www.chinamet.cn/Jweb_gt/EN/10.13228/j.boyuan.issn0449-749x.20210230 OR http://www.chinamet.cn/Jweb_gt/EN/Y2021/V56/I12/75

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