Improved Smith prediction monitoring AGC system based on feedback-assisted iterative learning control

Zhang, Haoyu; Sun, Jie; Zhang, Dianhua; Chen, Shu-zong; Zhang, Xin

doi:10.1007/s11771-014-2327-3

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…Thickness precision is one of the most important quality indexes in strip rolling process [4][5]. In the rolling of metals, especially the final cold rolling of sheet materials, the variation of thickness along the length of the strip must be controlled within very tight tolerances [6].…”

Section: Mathematical Modelmentioning

confidence: 99%

Application of Comprehensive AGC System for Aluminum Twin-Stand Cold Rolling Mill

Zhang¹,

Xiang²,

Zong³

et al. 2017

IJCA

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Section: Mathematical Modelmentioning

confidence: 99%

Application of Comprehensive AGC System for Aluminum Twin-Stand Cold Rolling Mill

Zhang¹,

Xiang²,

Zong³

et al. 2017

IJCA

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“…However, the performance of the monitoring AGC system with an improved internal model still relies on the accuracy of the model. 3. The stability of the monitoring AGC system can be improved by introducing iterative learning control into the system at times of model mismatch.…”

Section: Simulation With Model Mismatchmentioning

confidence: 99%

Iterative Learning Control with an Improved Internal Model for a Monitoring Automatic-Gauge-Control System

Yin

Zhang

et al. 2016

Metallurgist

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The long time delay in the monitoring automatic gauge control (AGC) of strip rolling by a tandem hot mill adversely affects system stability. To solve this problem, internal model control (IMC) and iterative learning control were applied to a monitoring-AGC system. Amathematical model of the hydraulic gap control system was established focusing on the seventh stand of a 1450-mm tandem hot mill in a factory. Model parameters were identifi ed employing a particle swarm optimization algorithm. Using the identifi ed hydraulic gap control model, a monitoring AGC system with an improved internal model (IIMC-MNAGC) and an iterative-learning-control strategy for an improved-internal-model monitoring AGC system (ILC-IIMC-MNAGC) were established. Finally, simulation experiments for IIMC-MNAGC and ILC-IIMC-MNAGC were conducted using MATLAB/Simulink software. The simulation results show that for the IIMC MNAGC system, when the model matches, the rising time reaches 43.6 msec, the overshot reaches 4.34%, the integral square error (ISE) reaches 0.0131, and the H α norm reaches 2.953. These levels are acceptable for the MN AGC system. When there is model mismatch due to the inaccuracy of the pure delay, for the IIMC-MNAGC system, the rising time increases to 263.5 msec and the overshot increases to 36.7%, which are unacceptable for the monitoring AGC system. When there is model mismatch for the ILC-IIMC-MNAGC system, the rising time reaches 38.9 msec, the overshot reaches 1.37%, the ISE reaches 0.0095, and the H α norm reaches 2.989. These levels are acceptable for the monitoring AGC system.

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“…Thickness precision and shape precision are the two most important quality indexes in strip rolling process [5, 6]. In the rolling of metals, especially the final cold rolling of sheet materials, the variation of thickness along the length as well as flatness along the width of the strip must be controlled within very tight tolerances [7].…”

Section: Mathematical Modelsmentioning

confidence: 99%

Research and application of computer control system for aluminium single‐stand 4‐high cold rolling mill

Zhang

Wei²,

Zong

et al. 2016

J. eng.

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Improved Smith prediction monitoring AGC system based on feedback-assisted iterative learning control

Cited by 10 publications

References 14 publications

Application of Comprehensive AGC System for Aluminum Twin-Stand Cold Rolling Mill

Application of Comprehensive AGC System for Aluminum Twin-Stand Cold Rolling Mill

Iterative Learning Control with an Improved Internal Model for a Monitoring Automatic-Gauge-Control System

Research and application of computer control system for aluminium single‐stand 4‐high cold rolling mill

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