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...

Full description

Bibliographic Details
Main Authors:	Chao Tan, Nan Qi, Xin Zhou, Xinhua Liu, Xingang Yao, Zhongbin Wang, Lei Si
Format:	Article
Language:	English
Published:	Hindawi Limited 2015-01-01
Series:	Computational Intelligence and Neuroscience
Online Access:	http://dx.doi.org/10.1155/2015/684096

id	doaj-34d25aa93bdd461db36310f0648e6298
record_format	Article
spelling	doaj-34d25aa93bdd461db36310f0648e62982020-11-24T22:38:05ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732015-01-01201510.1155/2015/684096684096A Pressure Control Method for Emulsion Pump Station Based on Elman Neural NetworkChao Tan0Nan Qi1Xin Zhou2Xinhua Liu3Xingang Yao4Zhongbin Wang5Lei Si6School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, ChinaIn 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.http://dx.doi.org/10.1155/2015/684096
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Chao Tan Nan Qi Xin Zhou Xinhua Liu Xingang Yao Zhongbin Wang Lei Si
spellingShingle	Chao Tan Nan Qi Xin Zhou Xinhua Liu Xingang Yao Zhongbin Wang Lei Si A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network Computational Intelligence and Neuroscience
author_facet	Chao Tan Nan Qi Xin Zhou Xinhua Liu Xingang Yao Zhongbin Wang Lei Si
author_sort	Chao Tan
title	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_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_sort	pressure control method for emulsion pump station based on elman neural network
publisher	Hindawi Limited
series	Computational Intelligence and Neuroscience
issn	1687-5265 1687-5273
publishDate	2015-01-01
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.
url	http://dx.doi.org/10.1155/2015/684096
work_keys_str_mv	AT chaotan apressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT nanqi apressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT xinzhou apressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT xinhualiu apressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT xingangyao apressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT zhongbinwang apressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT leisi apressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT chaotan pressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT nanqi pressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT xinzhou pressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT xinhualiu pressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT xingangyao pressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT zhongbinwang pressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork AT leisi pressurecontrolmethodforemulsionpumpstationbasedonelmanneuralnetwork
_version_	1725714751281954816

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

Similar Items