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

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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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  -