A pressure control method for emulsion pump station based on Elman neural network.

Journal: Computational intelligence and neuroscience
Published Date: Mar 9, 2015

Abstract

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.

Authors

  • Chao Tan
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Nan Qi
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Xin Zhou
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Xinhua Liu
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China ; Xuyi Mine Equipment and Materials R&D Center, China University of Mining & Technology, Huai'an 211700, China.
  • Xingang Yao
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Zhongbin Wang
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Lei Si
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.

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