Optimal control system for hot strip finishing mill

Okada, Masaki; Murayama, K.; Urano, A.; Iwasaki, Yukiko; Kawano, Akira; Shiomi, Hiroshi

doi:10.1016/s0967-0661(98)00102-6

Cited by 34 publications

(5 citation statements)

References 2 publications

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“…Owing to the strong interactions between the process variables, hot rolling has been a good candidate for multivariable control. Many successful implementations have been reported, the latest being ''Observer-based multivariable control of rolling mills'' by Hoshino and Kimura (1998) and the paper by Okata et al (1997), ''Optimal control system for hot-strip finishing mill''. The design of a local autonomous control system based on model decoupling and optimal control theory is presented.…”

Section: Hot Rollingmentioning

confidence: 99%

Current Status and Future Trends in the Automation of Mineral and Metal Processing

Jämsä‐Jounela¹

2001

IFAC Proceedings Volumes

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Abstract:A review of the current status and future trends in the automation and control of mineral and metal processing is presented. An evaluation of publications on IFAC MMM events during the last 20 years shows some trends in the application of a number of process control methods in the MM industry. Classical control has seen an extraordinarily wide application, but its inability to solve all the application problems of interest has led to further developments in control system methodologies and theory. One aim of this paper is to review the success of the translation of theoretically based developments into practice. Finally, the importance of information technology for the MM industry and process automation is highlighted and discussed. r

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Section: Hot Rollingmentioning

confidence: 99%

Current Status and Future Trends in the Automation of Mineral and Metal Processing

Jämsä‐Jounela¹

2001

IFAC Proceedings Volumes

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“…Hearns and Grimble [9] studied a controller for an AGC-LP integrated system that uses a multivariable H∞ control strategy to enhance system robustness. Okada et al [10] designed a controller with linear quadratic optimal control for an AGC-LP integrated system, which gives the system excellent control accuracy. A state-dependent Riccati equation technique for AGC-LP integrated systems was proposed by Pittner and Simaan [11].…”

Section: Introductionmentioning

confidence: 99%

Discrete Model Predictive Control Scheme for an Integrated Gauge-Looper Control System in a Tandem Hot Strip Mill

Yin

2020

IEEE Access

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There exists strong coupling and a complex multivariable relation among the strip gauge, looper angle and strip tension in tandem hot rolling. To improve the gauge precision of the hot strip, the dynamic relationship among these three variables must be determined. In this paper, a new coordinated optimal control scheme based on discrete model predictive control (DMPC) theory was presented for an automatic gauge control and looper control (AGC-LP) integrated system. First, a state-space model of the AGC-LP integrated system was established based on a 1700 mm tandem hot strip mill. Then, to achieve the desired dynamic performance with the AGC-LP integrated system, a performance index function and an optimal control sequence were designed for the DMPC controller. The simulation results showed that the proposed DMPC controller had better robustness and adaptability to modeling uncertainties and external disturbances than a traditional proportional-integral (PI) controller.

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“…Most FMs are controlled by proportional + integral (PI) control strategies, which are not designed to compensate for the above-mentioned difficulties. During the past two decades, control of relevant aspects related to thickness has been an active research topic in the literature [3][4][5][6][7][8]. Special attention has been paid to the looper system variables, tension and looper angular position, owing mainly to their great influence on strip thickness and finishing temperature [2].…”

Section: Introductionmentioning

confidence: 99%

Parametric Robust Control of the Multivariable 2 × 2 Looper System in Steel Hot Rolling: A Comparison between Multivariable QFT and H∞

Cantú

Mendiola

Domínguez

et al. 2019

Metals

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Two robust mutlivariable controllers, H∞ and a decentralized quantitative feedback theory (QFT), are designed in the frequency domain for the 2 × 2 looper system in a steel hot rolling mill to keep stability in the presence of parametric uncertainties. The H∞ controller is designed by using the mixed sensitivity approach, while the multivariable decentralized QFT is designed by the extension of the sequential loop closing method presented elsewhere. Stability robustness conditions are verified in the frequency domain, while simulations in time domain are carried out to evaluate the controllers and compare their performance along with that of proportional + integral (PI) and single input single output (SISO) QFT controllers designed earlier. The QFT controller shows the best balance among the performance indicators analyzed here; however, at the expenses of using higher power in one of the control inputs.

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Optimal control system for hot strip finishing mill

Cited by 34 publications

References 2 publications

Current Status and Future Trends in the Automation of Mineral and Metal Processing

Current Status and Future Trends in the Automation of Mineral and Metal Processing

Discrete Model Predictive Control Scheme for an Integrated Gauge-Looper Control System in a Tandem Hot Strip Mill

Parametric Robust Control of the Multivariable 2 × 2 Looper System in Steel Hot Rolling: A Comparison between Multivariable QFT and H∞

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