Full Text:   <607>

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CLC number: TP273; TP183

On-line Access: 2018-09-04

Received: 2016-07-06

Revision Accepted: 2016-09-19

Crosschecked: 2018-07-08

Cited: 0

Clicked: 1657

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Zai-sheng Pan

http://orcid.org/0000-0003-1273-2519

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Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.7 P.834-846

10.1631/FITEE.1601397


Development and application of a neural network based coating weight control system for a hot-dip galvanizing line


Author(s):  Zai-sheng Pan, Xuan-hao Zhou, Peng Chen

Affiliation(s):  Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   panzs@zju.edu.cn

Key Words:  Neural network, Hot-dip galvanizing line (HDGL), Coating weight control


Zai-sheng Pan, Xuan-hao Zhou, Peng Chen. Development and application of a neural network based coating weight control system for a hot-dip galvanizing line[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(7): 834-846.

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Abstract: 
The hot-dip galvanizing line (HDGL) is a typical order-driven discrete-event process in steelmaking. It has some complicated dynamic characteristics such as a large time-varying delay, strong nonlinearity, and unmeasured disturbance, all of which lead to the difficulty of an online coating weight controller design. We propose a novel neural network based control system to solve these problems. The proposed method has been successfully applied to a real production line at VaLin LY Steel Co., Loudi, China. The industrial application results show the effectiveness and efficiency of the proposed method, including significant reductions in the variance of the coating weight and the transition time.

基于神经网络的热镀锌层厚控制系统的研究与应用

概要:钢铁生产企业中热镀锌生产线是一个典型的订单驱动离散制造过程。该系统呈现许多复杂动态特性,包括大时变系统时滞、强非线性和不可测的扰动项。这些因素增大了在线镀层厚度控制系统的设计难度。提出一种新的基于神经网络的控制方法,并成功应用在华菱涟钢集团的热镀锌生产线。实际生产运行结果表明,镀层厚度的波动性以及产品规格切换时的过渡时间显著减小,验证了该方法的有效性。

关键词:神经网络;热镀锌线;镀层厚度控制

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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