A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network

In order to realize pressure control of emulsion pump station which is key equipment of coal mine in the safety production, the control requirements were analyzed and a pressure control method based on Elman neural network was proposed. The key techniques such as system framework, pressure predictio...

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Detalles Bibliográficos
Autores principales: Tan, Chao, Qi, Nan, Zhou, Xin, Liu, Xinhua, Yao, Xingang, Wang, Zhongbin, Si, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378604/
https://www.ncbi.nlm.nih.gov/pubmed/25861253
http://dx.doi.org/10.1155/2015/684096
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author Tan, Chao
Qi, Nan
Zhou, Xin
Liu, Xinhua
Yao, Xingang
Wang, Zhongbin
Si, Lei
author_facet Tan, Chao
Qi, Nan
Zhou, Xin
Liu, Xinhua
Yao, Xingang
Wang, Zhongbin
Si, Lei
author_sort Tan, Chao
collection PubMed
description In order to realize pressure control of emulsion pump station which is key equipment of coal mine in the safety production, the control requirements were analyzed and a pressure control method based on Elman neural network was proposed. The key techniques such as system framework, pressure prediction model, pressure control model, and the flowchart of proposed approach were presented. Finally, a simulation example was carried out and comparison results indicated that the proposed approach was feasible and efficient and outperformed others.
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spelling pubmed-43786042015-04-08 A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network Tan, Chao Qi, Nan Zhou, Xin Liu, Xinhua Yao, Xingang Wang, Zhongbin Si, Lei Comput Intell Neurosci Research Article In order to realize pressure control of emulsion pump station which is key equipment of coal mine in the safety production, the control requirements were analyzed and a pressure control method based on Elman neural network was proposed. The key techniques such as system framework, pressure prediction model, pressure control model, and the flowchart of proposed approach were presented. Finally, a simulation example was carried out and comparison results indicated that the proposed approach was feasible and efficient and outperformed others. Hindawi Publishing Corporation 2015 2015-03-09 /pmc/articles/PMC4378604/ /pubmed/25861253 http://dx.doi.org/10.1155/2015/684096 Text en Copyright © 2015 Chao Tan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tan, Chao
Qi, Nan
Zhou, Xin
Liu, Xinhua
Yao, Xingang
Wang, Zhongbin
Si, Lei
A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network
title A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network
title_full A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network
title_fullStr A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network
title_full_unstemmed A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network
title_short A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network
title_sort pressure control method for emulsion pump station based on elman neural network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378604/
https://www.ncbi.nlm.nih.gov/pubmed/25861253
http://dx.doi.org/10.1155/2015/684096
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