Predictive Control System of Gas Recovery Based on Neural Network and Fuzzy Control

被引：0
|
作者：
Bian, H. Y. [1 ]
Chang, Y. L. [2 ]
机构：
[1] Pingdingshan Univ, Coll Phys & Elect Informat Engn, Pingdingshan, Peoples R China
[2] Coll Henan Qual Project, Mech & Elect Engn Dept, Zhengzhou, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2015) | 2015年 / 13卷
关键词：
predictive control system; gas recovery; neural-network; fuzzy control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problem that the converter gas steam recovery and average recovery rate is less than forty percent in some steel factory, this research optimized recycle-using system of steel plant's converter gas by applying neural-network adaptive predictive control and fuzzy control. The simulation results showed that furnace gas emissions could reach -5 similar to 5L/h, and the practice proved the average recovery of gas reached 97.5m3/T after applying neural-network adaptive predictive control in practical application.
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页码：393 / 396
页数：4
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