title: A pressure control method for emulsion pump station based on Elman neural network.
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: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
authors: Chao
authors: C
authors: Tan
authors: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
authors: Nan
authors: N
authors: Qi
authors: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
authors: Xin
authors: 0000-0001-6000-5119
authors: X
authors: Zhou
authors: 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.
authors: Xinhua
authors: 0000-0002-8632-6532
authors: X
authors: Liu
authors: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
authors: Xingang
authors: X
authors: Yao
authors: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
authors: Zhongbin
authors: Z
authors: Wang
authors: School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
authors: Lei
authors: L
authors: Si
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D016571:Neural Networks, Computer; D012044:Regression Analysis; D017751:Safety Management