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Application of Takagi–Sugeno fuzzy model for slab camber control in a hot strip rougher mill
Ironmaking & Steelmaking ( IF 2.1 ) Pub Date : 2020-07-02 , DOI: 10.1080/03019233.2020.1788883
Dong Xu 1 , Quan Yang 1 , Xiaochen Wang 1 , Huabin Wang 1 , Wei Zhang 2 , Jingtao Liu 2
Affiliation  

ABSTRACT Control of slab camber is an important topic in hot strip rough rolling process. In this study, a slab camber control system, composed by a camber prediction model and a gap levelling value calculation model, based on the Takagi–Sugeno (T–S) fuzzy model is proposed. The performance of the developed camber prediction model is evaluated by the estimation error between the predicted and measured values of slab camber after rough rolling with the validation set from a rougher mill. The results show that the percentage of bars with estimation error within the tolerance of ±30 mm is 94.1%. Moreover, the proposed control model is finally applied in the 1580 mm hot rough rolling process. The control model can reliably provide the suggested adjustment of gap levelling, and the percentage of slabs, of which the adjustment error meets the requirement for camber quality assurance, is 95.85%.

中文翻译:

Takagi-Sugeno模糊模型在带钢热轧粗轧机板坯弯曲度控制中的应用

摘要 板坯弯曲度控制是热轧带钢粗轧工艺中的一个重要课题。在本研究中,基于 Takagi-Sugeno (T-S) 模糊模型,提出了一种由弧度预测模型和间隙平整值计算模型组成的板坯弧度控制系统。所开发的弯曲度预测模型的性能通过粗轧后板坯弯曲度的预测值和测量值之间的估计误差进行评估,并使用来自粗轧机的验证集。结果表明,估计误差在±30 mm 范围内的条形百分比为94.1%。此外,所提出的控制模型最终应用于 1580 mm 热粗轧工艺。控制模型可以可靠地提供间隙平整度和板坯百分比的建议调整,
更新日期:2020-07-02
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