Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

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

Authors
H.Y. Bian, Y.L. Chang
Corresponding Author
H.Y. Bian
Available Online July 2015.
DOI
10.2991/eame-15.2015.109How to use a DOI?
Keywords
predictive control system; gas recovery; neural-network; fuzzy control
Abstract

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 -5~5L/h, and the practice proved the average recovery of gas reached 97.5m3/T after applying neural-network adaptive predictive control in practical application.

Copyright
© 2015, 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/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-62520-71-4
ISSN
2352-5401
DOI
10.2991/eame-15.2015.109How to use a DOI?
Copyright
© 2015, 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  - H.Y. Bian
AU  - Y.L. Chang
PY  - 2015/07
DA  - 2015/07
TI  - Predictive Control System of Gas Recovery Based on Neural Network and Fuzzy Control
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 387
EP  - 390
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.109
DO  - 10.2991/eame-15.2015.109
ID  - Bian2015/07
ER  -