Algorithm design and application of novel GM-AGC based on mill stretch characteristic curve

Ji, Yafeng; Zhang, Dianhua; Chen, Shu-zong; Sun, Jie; Xu, Li; Di, Hongshuang

doi:10.1007/s11771-014-2022-4

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Usually a speed and current double loop DC speed control system is designed respectively for the upper and lower roller motor, and thus the speed, torque of the upper or lower motor can be adjusted separately [1][2]. In this state, load imbalance usually appears between upper and lower roller motor and thereupon leads to relative sliding between the working roll and the rolled strip, and then affects the quality of the products [3][4][5]. To guarantee the product quality, load balance control is necessary.…”

Section: Introductionmentioning

confidence: 99%

A Control Method for Load Balance between Upper and Lower Roll of Four-High Hot Rolling Mill

Liu

Liu²

2014

AMM

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In the rolling process, the upper and lower working rolls of the mill usually under different load. In order to keep good product quality, load balance control is necessary. This paper proposes a control method which uses the torque difference between upper and lower roll to compensate the given current of the upper roll motor. Simulation results show that the proposed control method can give good control effect and keep load balance.

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Section: Introductionmentioning

confidence: 99%

A Control Method for Load Balance between Upper and Lower Roll of Four-High Hot Rolling Mill

Liu

Liu²

2014

AMM

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“…Lithium battery pole piece rolling mill equipment first appeared in the 1970s, controlled by an advanced hydraulic servo system.Ji.et al [7] adopted AGC hydraulic servo control system produces pole rolling force between 100-300T cruising speed between 90-120 M / min. The rolling mill equipment has high control accuracy and selfmonitoring function to realize the equipment's fault diagnosis and state detection function.…”

mentioning

confidence: 99%

Intelligent Health Diagnosis of Lithium Battery Pole Double Rolling Equipment Driven by Hybrid BP Neural Network and Expert System

Xiao

Deng

Fu-rong³

et al. 2022

IEEE Access

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At present, the fault diagnosis methods of lithium battery pole rolling mill mostly rely on manual experience and the self-test function of mature control devices such as frequency converters and lack the ability of intelligent fault diagnosis for the whole equipment and the ability to evaluate the health state of the equipment during operation. To improve the intellectual health diagnosis ability of lithium battery pole double rolling mill equipment, starting from the structure and technology of lithium battery pole double rolling equipment, this paper analyzes its common fault types. It summarizes the shortcomings and common fault types of existing equipment. Then, we introduce fuzzy reasoning into the fault diagnosis method based on Expert Systems and establish the FEFDM of lithium battery pole double rolling equipment. Finally, we introduce the concept of health degree, effectively connect BP neural network and health degree through the fuzzy set, and establish an equipment operation health state evaluation method based on an improved BP Neural Network, which realizes the evaluation ability of the health state of double roller equipment. In addition, we use Extended Kalman Filtering (EKF) to clean the "dirty data" and filter out the Gaussian white noise from the signal. The health diagnosis method proposed in this paper can meet the ability to accurately locate and diagnose the fault of lithium battery pole double roller equipment and evaluate the health state of equipment operation and maintain the equipment in advance.

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Adaptive threading strategy based on rolling characteristics analysis in hot strip rolling

Wen

Chen

Gong

et al. 2017

J. Cent. South Univ.

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Algorithm design and application of novel GM-AGC based on mill stretch characteristic curve

Cited by 7 publications

References 12 publications

A Control Method for Load Balance between Upper and Lower Roll of Four-High Hot Rolling Mill

A Control Method for Load Balance between Upper and Lower Roll of Four-High Hot Rolling Mill

Intelligent Health Diagnosis of Lithium Battery Pole Double Rolling Equipment Driven by Hybrid BP Neural Network and Expert System

Adaptive threading strategy based on rolling characteristics analysis in hot strip rolling

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