A Model Coupling Method for Shape Prediction

Wang, Dongcheng; Liu, Hong‐Min

doi:10.1016/s1006-706x(12)60055-7

Cited by 24 publications

(7 citation statements)

References 1 publication

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“…Without iteration, the transverse distribution of flatness, cross section shape, rolling pressure and inter-roll pressure can be solved at one time, which has advantages of high accuracy, fast speed and good stability. 23) Given the transverse distribution of strip exit thickness, the transverse distribution of the rolling pressure and front tension (flatness) calculated by the strip plastic deformation model can be abbreviated as follows. 24)…”

Section: Flatness Control Deformation Mechanism Modelmentioning

confidence: 99%

Decoupling Strategy and Dynamic Decoupling Model of Flatness Control in Cold Rolling Strip

et al. 2020

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Taking a 1 420 mm UCM six-high cold rolling mill as the research object, by calculating and analyzing the relative gain array of flatness adjustments, the flatness control strategy of independent control primary flatness, decoupling control quadratic and quartic flatness is proposed, which simplifies the complex three-loop decoupling to the two-loop decoupling, and facilitates the design of flatness control system. In order to overcome the shortcomings of the long response time and the process fluctuation of the static matrix decoupling control, based on the multi-input and multi-output decoupling control theory, a method and model for the whole process decoupling of quadratic and quartic flatness control loops is proposed by introducing dynamic decoupling matrix instead of static decoupling matrix. The simulation results show that the dynamic matrix decoupling control method can make the system adjust quickly and smoothly, and by controlling the primary, quadratic and quartic flatness, the cubic flatness can also be controlled effectively. This paper opens up a new way and method for developing a simple, practical and high performance flatness control system.

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Section: Flatness Control Deformation Mechanism Modelmentioning

confidence: 99%

Decoupling Strategy and Dynamic Decoupling Model of Flatness Control in Cold Rolling Strip

et al. 2020

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“…The normal rolling speed of the mill is between 5.0 and 13.3 m/s (according to field rolling process), and the distance between the shapemeter and the roll gap is 2.0 m (field measurement). Therefore, the delay time is between 0.15 and 0.4 s. The normal rolling speed of the strip with a width of 1230 mm is 10 m/s, i.e., delay time τ = 0.2 main rolling parameters and the flatness adjustment influence matrix (calculating matrix) calculated from the flatness control deformation mechanism model are shown in Table 1 [33]. The simulation systems of flatness control Simulink based on decoupling PI, decoupling PI-Smith and decoupling PI-adaptive Smith are built, respectively.…”

Section: Simulation Comparisonmentioning

confidence: 99%

Decoupling Adaptive Smith Prediction Model of Flatness Closed-Loop Control and Its Application

Song

Liu

et al. 2020

Processes

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Flatness control system is characterized by multi-parameters, strong coupling, pure time delay, which complicate the establishment of an accurate mathematical model. Therefore, a control scheme that combines dynamic decoupling, PI (Proportion and Integral) control and adaptive Smith predictive compensation is proposed. To this end, a dynamic matrix is used to decouple the control system. A multivariable coupled pure time-delay system is transformed into several independent generalized single-loop pure time-delay systems. Then, a PI-adaptive Smith predictive controller is constructed for the decoupled generalized single-loop pure time-delay system. Simulations show that the scheme has a simple and feasible structure, and good control performance. When the mathematical model of the control system is inaccurate, the control performance of adaptive Smith control method is evidently better than that of the ordinary Smith control method. The model is successfully applied to the cold rolling production site through LabVIEW, and the control accuracy is within 5I. This study reveals a new solution to the problem of coupled pure time-delay in flatness control system.

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“…Dixon, et al [8], proposed a set of mechanism models of strip plastic and rolls elastic deformation, but the calculation procedure still requires iterative calculation between the calculation results of the two models, which affects its computational efficiency. Wang, et al [9,10], proposed a model coupling method to avoid the mutual iteration between the calculation results of strip plastic and rolls elastic deformation models, and its calculation speed is improved under the premise of ensuring calculation accuracy.…”

Section: Strip Plastic and Rolls Elastic Deformationmentioning

confidence: 99%

Research and Development Trend of Shape Control for Cold Rolling Strip

Wang

Liu

2017

Chin. J. Mech. Eng.

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Shape is an important quality index of cold rolling strip. Up to now, many problems in the shape control domain have not been solved satisfactorily, and a review on the research progress in the shape control domain can help to seek new breakthrough directions. In the past 10 years, researches and applications of shape control models, shape control means, shape detection technology, and shape control system have achieved significant progress. In the aspect of shape control models, the researches in the past improve the accuracy, speed and robustness of the models. The intelligentization of shape control models should be strengthened in the future. In the aspect of the shape control means, the researches in the past focus on the roll optimization, mill type selection, process optimization, local strip shape control, edge drop control, and so on. In the future, more attention should be paid to the coordination control of both strip shape and other quality indexes, and the refinement of control objective should be strengthened. In the aspects of shape detection technology and shape control system, some new types of shape detection meters and shape control systems are developed and have successfully industrial applications. In the future, the standardization of shape detection technology and shape control system should be promoted to solve the problem of compatibility. In general, the four expected development trends of shape control for cold rolling strip in the future are intelligentization, coordination, refinement, and standardization. The proposed research provides new breakthrough directions for improving shape quality.

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A Model Coupling Method for Shape Prediction

Cited by 24 publications

References 1 publication

Decoupling Strategy and Dynamic Decoupling Model of Flatness Control in Cold Rolling Strip

Decoupling Strategy and Dynamic Decoupling Model of Flatness Control in Cold Rolling Strip

Decoupling Adaptive Smith Prediction Model of Flatness Closed-Loop Control and Its Application

Research and Development Trend of Shape Control for Cold Rolling Strip

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