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A learning fuzzy system for looper control in rolling mills
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166)
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In this paper, several issues of looper control in rolling mills are discussed and a fuzzy logic control is proposed to address the enumerated issues. ...
The proposed system incorporated fast tuning algorithms for both off-line and online learning of membership functions and singleton values. Also, it is relatively simple to design and implement. ...
Looper System Model The plant is a rolling mill with a looper for tension control (Fig. 1) . ...
doi:10.1109/icsmc.2000.886589
dblp:conf/smc/Janabi-SharifiF00
fatcat:hce4aymsh5emrnofqt52a5u5c4
Fuzzy-Neural Control of Hot-Rolling Mill
2010
Iraqi Journal for Electrical And Electronic Engineering
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This paper deals with the application of Fuzzy-Neural Networks (FNNs) in multi-machine system control applied on hot steel rolling. ...
The electrical drives that used in rolling system are a set of three-phase induction motors (IM) controlled by indirect field-oriented control (IFO). ...
to the developments in robustness controllers, they promised for obtaining better outcomes by implementing Fuzzy-Neural Networks as controllers instead of the conventional type in the rolling system applications ...
doi:10.33762/eeej.2010.54887
fatcat:66etnqfkcbf5vevp7ozkxsi6mm
Root Cause Tracing Using Equipment Process Accuracy Evaluation for Looper in Hot Rolling
2024
Algorithms
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This paper provides a new approach for fault tracing in the hot rolling process. ...
This scholarly paper focuses on the paramount looper equipment in the finishing rolling area, utilizing it as a case study to investigate approaches for identifying the origins of instabilities, specifically ...
When the looper moves to the highest position, there is a moderate movement space between the inlet and outlet of the rolling mill to ensure that the looper is reliably in place. ...
doi:10.3390/a17030102
fatcat:lpw6eecnnzfz3dlhuzpf4burpm
Hybrid-Learning Type-2 Takagi–Sugeno–Kang Fuzzy Systems for Temperature Estimation in Hot-Rolling
2020
Metals
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Entry temperature estimation is a major concern for finishing mill set-up in hot strip mills. ...
In order to test the combination of the simplicity offered by Takagi–Sugeno–Kang systems (also known as Sugeno systems) and the modeling power of type-2 fuzzy, in this work, hybrid-learning type-2 Sugeno ...
In general, rolling variable estimation is important for control purposes, and hence, for quality fulfilment. ...
doi:10.3390/met10060758
fatcat:tvihlg7en5fdhomkxpqu4trcci
Application of Innovative Methods of Predictive Control in Projects Involving Intelligent Steel Processing Production Systems
2021
Materials
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A two-step defect check of the strip's surface involves checking for defects during the hot-rolling process first, and double-checking it during the process of pickling. ...
These defects are detected in a well-established process of camera imaging in the production process. ...
Defect classification on the hot-rolling mill is the basis for a two-step system of defect detection and classification. ...
doi:10.3390/ma14071641
pmid:33801618
fatcat:2ijiceafzvhmvanrovzk5tsxbq
Current status and future trends in the automation of mineral and metal processing
2001
Control Engineering Practice
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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. ...
K. a ampe, J. Laitinen, S. Nevalainen, H. Rauhala, O. Tiili, J. Timperi, E. Vapaavuori and M. Vermasvuori, in collecting the relevant references is gratefully acknowledged. ...
doi:10.1016/s0967-0661(01)00073-9
fatcat:tjksguhynngwre3r6j3xz3tzci
CFWC Scheme for Width Control using CCD Measurement System and Fuzzy PID Controller in Hot Strip Mills
CCD 폭 측정 시스템 및 퍼지 PID를 이용한 CFWC 제어기 설계
2013
Journal of Institute of Control Robotics and Systems
CCD 폭 측정 시스템 및 퍼지 PID를 이용한 CFWC 제어기 설계
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In this paper, we propose a CFWC (CCD and fuzzy PID based width control) scheme to obtain the desired delivery width margin of a vertical rolling mill in hot strip process. ...
A dynamic model of the mill is derived from a gauge meter equation in order to design the fuzzy PID controller. ...
Fig. 10 . 10 Structure of width control system in F0E rolling mill.
표 1 . 1 퍼지 PID 알고리즘 검증을 위한 시뮬레이션 조건.
Fig. 11 . 11 Time response of width margin for proposed controller.
그림12. ...
doi:10.5302/j.icros.2013.13.9034
fatcat:2jhyhsmsijhghicnjvw52zm2ya
A Hybrid Intelligent Learning Algorithm to Identify the ECNS Based on FBP Optimized by GA
2010
Journal of Computers
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Janabi-Sharifi, “A neuro-fuzzy system for looper tension
control in rolling mills,” Control Engineering Practice, vol.
13, no. 10, pp. 1-12, 2005.
[20] S. Thangavel, V. Palanisamy, K. ...
based on GA-BP
fuzzy neural network for the rolling mill,” Metallurgical
Equipment, no. 4, pp. 1-4, 2008.
[19] F. ...
doi:10.4304/jcp.5.4.581-588
fatcat:onxnw7nqvzairbkadcwghbnbky
Constrained dynamic matrix control strategy for a monitoring system for AGC of hot strip mills
2020
Metallurgical Research and Technology
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In the hot strip rolling process, the performance of a monitoring system for automatic gauge control (MN-AGC) is influenced greatly by the model mismatch which is caused by the variation of model parameters ...
A constrained dynamic matrix control (CDMC) strategy that includes a prediction model, rolling optimization, and feedback correction was used in the MN-AGC. ...
The finishing mill consists of seven stands, each of which is equipped with two high-response AC mill motors, a low-inertia looper drive system, and an HGC system. ...
doi:10.1051/metal/2020029
fatcat:fc7n7pvwvjbmrkc7k52t3otibm
A neural-net based self-tuning fuzzy looper control for rolling mills
2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236)
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Looper control is one of the challenging problems in rolling mills. ...
The purpose of the paper is to propose an intelligent control method using fuzzy logic and neural network for improved performance of looper control over conventional loop control methods. ...
Conclusions A neuro-fuzzy controller has been proposed for looper control in rolling mills. ...
doi:10.1109/icsmc.2001.969793
dblp:conf/smc/Janabi-Sharifi01
fatcat:ezjrtzaygjbnvhlio5d3gy4ysy
AI and OR in management of operations: history and trends
2007
Journal of the Operational Research Society
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Each of the four areas is categorised in terms of the AI techniques used: genetic algorithms, case based reasoning, knowledge based systems, fuzzy logic and hybrid techniques. ...
The last decade has seen a considerable growth in the use of AI for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. ...
Hybrid NN/FL systems have several applications in process control including looper tension control in rolling mills (Janabi-Sharifi 2005) , industrial wastewater treatment , logic control for arc welding ...
doi:10.1057/palgrave.jors.2602132
fatcat:2alq5o5ehnc77h5jcf4pgvgtau
Neuro-fuzzy tension controller for tandem rolling
Proceedings of the IEEE Internatinal Symposium on Intelligent Control
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A fuzzy logic controller (FLC) is designed to maintain constant tension for tandem rolling mills. ...
Simulation results exhibit the generalization and adaptivity of neuro-fuzzy controller in offline tuning. ...
The use of FLC in looper tension control for rolling mills has been recently proposed [5] . ...
doi:10.1109/isic.2002.1157781
fatcat:m4kqybvbprc2pn4qwnewfmclxu
Modeling and Control of a Spherical Rolling Robot Using Model Reference Adaptive Control
International Research Journal of Engineering and Technology
unpublished
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of the system in a closed space based on a neuro fuzzy control and a conventional controller. ...
In our paper which presents the control of a spherical rolling robot based on fuzzy control and a adaptive control theory based on learning algorithm.This proposed control schemes assure asymptotic stability ...
of the system in a closed space based on a neuro fuzzy control and a conventional controller. ...
fatcat:mja2ujkhrfdfdp5k65qracmksq
Modeling and control of a spherical rolling robot Using Model Reference adaptive control
International Research Journal of Engineering and Technology
unpublished
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In our paper which presents the control of a spherical rolling robot based on fuzzy control and a adaptive control theory based on learning algorithm. ...
This proposed control schemes assure asymptotic stability of the system in a closed space based on a neuro fuzzy control and a conventional controller. ...
SIMULATION MODEL WITH PD CONTROLLER
Mill stage Looper stage In this paper, an adaptive neuro-fuzzy controller with MRAS theory-based online learning has been elaborated for velocity control of a ...
fatcat:55pwl6buxrgupnalfgav37rd2m
Modern Applied Science, Vol. 2, No. 3, May 2008, all in one file
2008
Modern Applied Science
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Institute for Fundamental Science for the laboratory facilities especially the Metal Organic Chemical Vapor Deposition System. ...
Acknowledgement The authors wish to thank Liu J.Z & Zhou Q of Tianjin Polytechnic Univ's Textile Test Center for their kindly help. References ...
A New-style Controller for Photovoltaic Lighting System. Energy
Engineering. No.5.
). ...
doi:10.5539/mas.v2n3p0
fatcat:y74fmpmp2nfexctxwy7v4l2cjq
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