Flatness Control Strategy Based on Delay Compensation for Cold Rolling Mill

A Sendzimir rolling mill (ZRM), one of the rolling mill systems, is a machine used to obtain a steel strip with a desired shape in cold rolling. Model based controllers are mainly used for the shape control, but it is difficult to obtain the mathematical model of the ZRM, so model identification should be used. This study proposes a method identifying static model of the ZRM. To identify the static model of the ZRM, a mill matrix (G m ) is obtained that expresses the linear relation between the actuators, and the shape of the strip and the data obtained through the ZRM's operation are used to obtain G m . However, as the operation data are affected by large measurement noise, and the patterns of the multiple control inputs are not diverse, this results in an inaccurate estimation. Therefore, a data processing method using multiple valid sets of operation data is proposed to estimate G m . Additionally, a G m update method is suggested to estimate the G m whenever a single pass operation is finished, according to the static model change of the plant. The proposed method is verified by comparing the results with the real operation data. This research will be helpful in all industries that use rolling mill machines such as 4-high mill, 6-high mill, and clustering mill in hot and cold rolling.INDEX TERMS Cold rolling, flatness control, mill matrix, model identification, multiple-input and multiple-output, rolling mills, Sendzimir rolling mill, steel industry, static linear model, steel strip, Z-mill

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Static Model Identification for Sendzimir Rolling Mill Using Noise Corrupted Operation Data

Seo

Ban

Koo

et al. 2020

IEEE Access

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Research on work roll contour for improving the flatness defect of electronic aluminum foil

Chen³

et al. 2021

Trans. Can. Soc. Mech. Eng.

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Electronic aluminum foil strip has extremely large width-thickness ratio, and often emerges tight-edge and rib-wave defect after rolling. In order to improve the special flatness defect, the defect distribution characteristics, section profile of aluminum foil strip and defect cause are analyzed, and then a new work roll contour is designed based on the idea of partial variable diameter. The new contour curve is a combination of multiple curves and the influence of various curve parameters on the contour is researched. A finite element simulation model based on ABAQUS is established to study the control characteristics of flatness defect when using the new work roll. The simulation results and actual production data of the 1450 aluminum foil rolling mill show that the new work roll can increase the depression of tight-edge area and improve the flatness defect of tight-edge and rib-wave.

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Decoupling Strategy and Mechanism-intelligent Model of Non Square Flatness Control System

Song

Liu

et al. 2021

ISIJ Int.

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Taking 1 420 mm UCM six-high cold rolling mill as the research object, a non square flatness control system with five input and four output is decoupled into a square subsystem with two input and two output which controls the primary and cubic flatness and a non square subsystem with three input and two output which controls the quadratic and quartic flatness by using the relative gain theory. By decomposing the unstable poles of the generalized inverse matrix of the non square system, the method of the generalized inverse matrix decoupling control the quadratic and quartic flatness is proposed, which solves the unstable problem of decoupling of non-square system. According to the characteristics of intermediate roll shifting, the variable model of roll shifting influence coefficient and the control strategy of minimum roll shifting adjustment and threshold are proposed. The dynamic characteristics of the system are improved and the adjustment of intermediate roll shifting is reduced. In order to overcome the shortcomings of low accuracy and poor generalization ability of shallow neural network, a mechanism-intelligent influence matrix model based on big data and deep neural network is proposed. Simulation calculation and industrial application show that the control system runs stably, the adjustment speed is fast, the control precision is high, the change of intermediate roll shifting is small, and it is suitable for online control. KEY WORDS: non square flatness control system; generalized inverse matrix decoupling; intermediate roll shifting; big data; deep neural network.

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Flatness Control Strategy Based on Delay Compensation for Cold Rolling Mill

Cited by 4 publications

References 28 publications

Static Model Identification for Sendzimir Rolling Mill Using Noise Corrupted Operation Data

Static Model Identification for Sendzimir Rolling Mill Using Noise Corrupted Operation Data

Research on work roll contour for improving the flatness defect of electronic aluminum foil

Decoupling Strategy and Mechanism-intelligent Model of Non Square Flatness Control System

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