Design of Intelligent Temperature Control System for Iron Ore Reduction

被引：0
|
作者：
Xie, Dong [1 ]
Shi, Jinliang [1 ]
Cheng, Guorong [1 ]
Wu, Yunjun [1 ]
机构：
[1] Chongqing Univ Sci & Technol, Sch Elect & Informat Engn, Chongqing, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷
关键词：
fuzzy controller; temperature control; parameter self-tuning; Matlab simulink;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The precision of temperature control is very important for the iron ore reduction performance test. Due to the conventional PID controller can not be parameter self-tuning on line, this paper proposed that control scheme based on the fuzzy adaptive PID intelligent temperature by combining with fuzzy control technology. By simulating reduction furnace heating and cooling process, it is shown that iron heating rate and heat preservation process achieve good control. Using Matlab fuzzy control toolbox and simulink simulation, the result shows that the self-tuning PID controller has high control precision, small overshoot, good dynamic performance characteristics.
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页数：4
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