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Two-Level Data-Based Adjustment of Controller Parameters for Weighing Process of Ladle Furnace.

Authors :
An, Jianqi
Huang, Yibo
Wu, Min
She, Jinhua
Source :
IEEE Transactions on Industrial Informatics; Dec2020, Vol. 16 Issue 12, p7658-7670, 13p
Publication Year :
2020

Abstract

The weight of alloying elements is a decisive factor to determine the grade and quality of alloy steel. It is difficult to control the weight of alloying elements accurately running due to the fluctuations in the feed rate. This article presents a new control system including a controller and a two-level adjustment strategy. First, a mathematical model is built to describe the weighing system based on the analysis of the weighing characteristics. Next, a control system is developed based on the model. Then, a two-level data-based adjustment strategy for the parameters of the controller is devised based on both the real-time data of the current batch and historical data of former batches of weighing. It ensures that the controller adapts to the fluctuations in the feed rate. Finally, the results of real runs show that the method has high accuracy and strong robustness. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15513203
Volume :
16
Issue :
12
Database :
Complementary Index
Journal :
IEEE Transactions on Industrial Informatics
Publication Type :
Academic Journal
Accession number :
146078754
Full Text :
https://doi.org/10.1109/TII.2020.2989160