Dynamic Decoupling for Combined Shape and Gauge Control System in Wide Strip Rolling Process

Linghu, Kezhi; He, Anrui; Yang, Quan; Zhao, Lin; Guo, Xin-Heng

doi:10.1016/s1006-706x(08)60026-6

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…The coupling characteristic of shape and gauge holds down the improvement of tandem cold rolling products quality. It is fundamental to improve both the flatness and thickness substantially [22]. In light of this, it has become an urgent duty to study the coupling of cold rolling process and apply effective decoupling control methods in system design.…”

Section: Process Descriptionmentioning

confidence: 99%

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Decoupling based decentralized robust control for combined shape and gauge system in tandem cold rolling process

Peng

Tong

Xiao

2009

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly With 2009 28th Chinese Control Conference

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In this paper, we proposed a new control scheme of decoupling based decentralized robust control for a typical two-input two-output system in tandem cold rolling process. A dynamic coupled model of shape and gauge system was developed based on some field data. Then we proposed a new control scheme for the combined system. The controller consists of a decoupler and a set of robust controllers. The interactions could be mainly dealt with by the decoupler, and robust controllers could guarantee good performance of decoupling control and the robustness of each isolated subsystem. An example was given to illustrate the proposed control strategy. Simulation results showed excellent decoupling effectiveness, input tracking, disturbance rejection and parameter perturbation rejection.

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Section: Process Descriptionmentioning

confidence: 99%

“…Kezhi LingHu,et al proposed a decoupling controller for the combined shape and gauge system model [22]. Mohieddine Jelali took the control performance monitoring technology into tandem cold rolling process for good flatness and thickness qualities [23].…”

Section: Decoupling Control Analysismentioning

confidence: 99%

Decoupling based decentralized robust control for combined shape and gauge system in tandem cold rolling process

Peng

Tong

Xiao

2009

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly With 2009 28th Chinese Control Conference

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“…The earlier decoupling control of flatness and thickness of the strip was the traditional decoupling method with regular PID control strategy based on invariant principle [3] and feedback decoupling [4]. Indeed, the decoupling network was founded on precise mathematical model of the object to control, and the PID controller was designed for the decoupling control of the flatness and the thickness.…”

Section: Introductionmentioning

confidence: 99%

Decoupling Predictive Control of Strip Flatness and Thickness of Tandem Cold Rolling Mills Based on Convolutional Neural Network

Fang

Liu

2020

IEEE Access

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The control system regarding flatness and thickness of the strip in tandem cold rolling mill is generally multivariate, non-linear, and strong-coupling. In this paper, a decoupling predictive control method based on convolutional neural network is invented for the decoupling of these two elements. We at first introduce the mathematical model, namely AFC-AGC model, of the automatic control on flatness and thickness, and analyze the coupling problem between them. Then CNN with strong feature extraction ability is used to design the decoupler of the flatness and thickness system by iteratively learning of the input and output data of the control system in consideration. Next, according to the non-linearity and the pure delay of the rolling mill system, we design the flatness and thickness controller using model predictive control algorithm (MPC). Finally, the simulations and comparisons are performed on the actual parameters of a tandem cold rolling mill. Our results demonstrate the effectiveness of the proposed decoupling control method and confirm the accuracy and robustness of the modified flatness and thickness control system.INDEX TERMS Tandem cold rolling mills, flatness and thickness of strip, decoupler, convolutional neural network, model predictive control (MPC).

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“…In the hydraulic cold rolling industries, the longitudinal thickness control system of strips is generally named AGC system (Automatic Gauge Control system) [1][2][3][4][5][6][7][8][9][10]. The control core of this AGC system is the automatic position control (APC) system of the cylinder.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Gauge Control System Using ARM and Fuzzy PI Controller

GONG¹,

QI²

2013

SIC

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Abstract:The longitudinal strip thickness error is an important problem in the hydraulic cold rolling industries, and the random disturbances may increase this error. To decrease this error, we proposed a new ARM9-based gauge control system, which is better than traditional automatic gauge control (AGC) system. This ARM9-based control system was comprised of an ARM9, three sensors, a fuzzy PI controller and other devices. The traditional AGC system was uncertain to deal with this error because the parameters were adjusted by human operators. This new ARM9-based control system had better chip such as ARM9 and used fuzzy controller to transform the uncertain information about this error into some certain data. Moreover, this new ARM9-based control system can be smaller and easier to carry. The experimental results were made with the Matlab tool, and the data show that this new ARM9-based gauge control system performs better than the traditional AGC system and is more robust than the traditional one against the distances.

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Dynamic Decoupling for Combined Shape and Gauge Control System in Wide Strip Rolling Process

Cited by 9 publications

References 3 publications

Decoupling based decentralized robust control for combined shape and gauge system in tandem cold rolling process

Decoupling based decentralized robust control for combined shape and gauge system in tandem cold rolling process

Decoupling Predictive Control of Strip Flatness and Thickness of Tandem Cold Rolling Mills Based on Convolutional Neural Network

Intelligent Gauge Control System Using ARM and Fuzzy PI Controller

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