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Computational Intelligence and Neuroscience
Volume 2015, Article ID 684096, 8 pages
Research Article

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

1School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China
2Xuyi Mine Equipment and Materials R&D Center, China University of Mining & Technology, Huai’an 211700, China

Received 21 October 2014; Revised 17 February 2015; Accepted 23 February 2015

Academic Editor: Francesco Camastra

Copyright © 2015 Chao Tan et al. 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.


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.