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MIAO Xiao-peng, SANG Zhen-hua. Application of fuzzy PID and Hopfield neural network in mine ventilation system[J]. Journal of Mine Automation, 2013, 39(8): 38-41. DOI: 10.7526/j.issn.1671-251X.2013.08.011
Citation: MIAO Xiao-peng, SANG Zhen-hua. Application of fuzzy PID and Hopfield neural network in mine ventilation system[J]. Journal of Mine Automation, 2013, 39(8): 38-41. DOI: 10.7526/j.issn.1671-251X.2013.08.011
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Application of fuzzy PID and Hopfield neural network in mine ventilation system

  • School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China

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  • In view of problem that traditional PID control and single fuzzy control cannot control air flow of mine ventilation system accurately, the paper proposed a control method for rotational speed, air door and air flow of mine ventilator by using fuzzy PID regulator and Hopfield neural network regulator. The method employs fuzzy controller to correct PID parameters real-timely and combines association memory function and feedback regulation performance of Hopfield neural network, so as to realize quick and steady output of mine ventilator. The results of simulation and experiment show that the fuzzy PID regulator and Hopfield neural network regulator can control rotational speed and air flow of mine ventilator accurately and realize steady output of ventilation system.
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