Design of Intelligent Temperature Control System for Iron Ore Reduction
Authors
Dong Xie, Jinliang Shi, Guorong Cheng, Yunjun Wu
Corresponding Author
Dong Xie
Available Online September 2012.
- DOI
- 10.2991/emeit.2012.293How to use a DOI?
- Keywords
- fuzzy controller, temperature control, parameter self-tuning, Matlab simulink
- Abstract
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.
- Copyright
- © 2012, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dong Xie AU - Jinliang Shi AU - Guorong Cheng AU - Yunjun Wu PY - 2012/09 DA - 2012/09 TI - Design of Intelligent Temperature Control System for Iron Ore Reduction BT - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012) PB - Atlantis Press SP - 1324 EP - 1327 SN - 1951-6851 UR - https://doi.org/10.2991/emeit.2012.293 DO - 10.2991/emeit.2012.293 ID - Xie2012/09 ER -