A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process

被引：46

作者：

Du, Sheng ^{[1
,2
,3
]}

Wu, Min ^{[1
,2
]}

Chen, Luefeng ^{[1
,2
]}

Zhou, Kailong ^{[1
,2
]}

Hu, Jie ^{[1
,2
,3
]}

Cao, Weihua ^{[1
,2
]}

Pedrycz, Witold ^{[3
]}

机构：

[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China

[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Peoples R China

[3] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6R 2V4, Canada

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2020年 / 16卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Time series analysis; Fuzzy control; Market research; Process control; Iron; Feature extraction; Bellows; Burn-through point (BTP); feature extraction; fuzzy control; sintering process; time-series trend; INTELLIGENT CONTROL-SYSTEM; HURST EXPONENT; PREDICTION;

D O I：

10.1109/TII.2019.2935030

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Sinter ore is the main raw material for ironmaking, and burn-through point (BTP) is one of the significant factors to measure the stability of the sintering process. In this article, through the feature extraction of time-series trend, a fuzzy control strategy is presented for the BTP. First, the Hurst exponent of the time series for the BTP is calculated by resorting to the rescaled range analysis method, by which the trend feature is analyzed. Then, by using the Mann-Kendall test, both global and local trend feature variable of the time series for the BTP are extracted and regarded as the inputs of the fuzzy controller. Next, a fuzzy controller for the BTP is designed to produce the control quantity of the strand velocity. Finally, based on a semiphysical simulation system and the raw data collected from an iron and steel plant, an experiment is carried out to demonstrate the effectiveness of the proposed control strategy.

引用

页码：2357 / 2368

页数：12

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