Volume 49 Issue 1
Feb.  2023
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Article Navigation >  Journal of Mine Automation  > 2023  >  49(1): 140-145, 161
CAI Jiahao, WANG Qianjin, FU Xiaorong, et al. Study on the optimal control of supply air volume in switchover process of mine main ventilators[J]. Journal of Mine Automation，2023，49(1)：140-145, 161.  doi: 10.13272/j.issn.1671-251x.2022050059
Citation: CAI Jiahao, WANG Qianjin, FU Xiaorong, et al. Study on the optimal control of supply air volume in switchover process of mine main ventilators[J]. Journal of Mine Automation，2023，49(1)：140-145, 161.  doi: 10.13272/j.issn.1671-251x.2022050059
shu

Study on the optimal control of supply air volume in switchover process of mine main ventilators

doi: 10.13272/j.issn.1671-251x.2022050059
  • 1.

    School of Electrical Engineering, Yancheng Institute of Technology, Yancheng 224051, China

  • 2.

    School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China

  • Received Date: 2022-05-15
  • Rev Recd Date: 2023-01-04
    • Available Online: 2023-02-02
    Abstract
  • The supply air volume fluctuates in a large range or even interrupts during the switching process of mine main ventilators, which is easy to cause the gas concentration to exceed the limit. The commonly used model-based main ventilator switchover control method is difficult to handle the constraints well. The intelligent algorithm relies on expert knowledge and experience, which is subjective and arbitrary. In order to solve the above problems, taking the switchover process of main ventilators in the No.2 Mine of China Pingmei Energy and Chemical Group Co., Ltd. as the research background, the optimal control of supply air volume in the switchover process of main ventilators is studied. Based on the hydrodynamics equation and the concept of graph theory, the dynamic model of the main ventilator switchover process is established. The Taylor expansion is used to linearize it to reduce the computational complexity. The switchover process of mine main ventilator is strongly nonlinear, and the system state is constrained. It is a discrete multi-input and multi-output system. The model predictive control (MPC) algorithm is used to study the air volume control problem. The MPC system of the main ventilator switchover process is designed, which converts the air volume optimization into a quadratic programming problem. The primal-dual neural network is used to solve the optimization problem online to realize the real-time optimal control of the supply air volume during the main ventilator switchover process. The test results show that the MPC system can effectively switch the main ventilator, and the air volume of four air doors can well track the reference value during the switchover process. The operation time of each sampling time is 0.027 s, which meets the real-time requirements of the switchover process. The maximum fluctuation of supply air volume is only 0.9%, which is significantly better than the traditional PID control effect.

     

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    • References(16)
  • [1]
    王前进,马小平,张守田. PLC软冗余在通风机监控系统中的应用[J]. 工矿自动化,2014,40(1):93-96.

    WANG Qianjin,MA Xiaoping,ZHANG Shoutian. Application of PLC soft redundancy in monitoring and control system for ventilator[J]. Industry and Mine Automation,2014,40(1):93-96.
    [2]
    于励民,马小平,任中华,等. 矿井主通风机不停风倒机控制的研究与实现[J]. 工矿自动化,2010,36(9):133-137.

    YU Limin,MA Xiaoping,REN Zhonghua,et al. Research of switching ventilator control without blowing-out of main ventilator of mine and its implementation[J]. Industry and Mine Automation,2010,36(9):133-137.
    [3]
    GE Hengqing,MA Xiaoping,WU Xinzhong,et al. Study on mine main fan switchover aiming at invariant ventilation based on nonlinear constrained programming[J]. International Journal of Digital Content Technology and Its Applications,2012,6(17):496-505. doi: 10.4156/jdcta.vol6.issue17.54
    [4]
    GE Hengqing,XU Guang,HUANG Jinxin,et al. A mine main fans switchover system with lower air flow volatility based on improved particle swarm optimization algorithm[J]. Advances in Mechanical Engineering,2019,11(3):1-10.
    [5]
    柴天佑. 复杂工业过程运行优化与反馈控制[J]. 自动化学报,2013,39(11):1744-1757. doi: 10.3724/SP.J.1004.2013.01744

    CHAI Tianyou. Operational optimization and feedback control for complex industrial processes[J]. Acta Automatica Sinica,2013,39(11):1744-1757. doi: 10.3724/SP.J.1004.2013.01744
    [6]
    任子晖,王翠,倪婷婷,等. 基于神经网络不停风倒机风量变化的研究[J]. 煤炭技术,2016,35(11):229-231.

    REN Zihui,WANG Cui,NI Tingting,et al. Research on air volume of reversing without stopping ventilation based on neural network[J]. Coal Technology,2016,35(11):229-231.
    [7]
    WANG Qianjin,MA Xiaoping,YANG Chunyu,et al. Modeling and control of mine main fan switchover system[J]. ISA Transactions,2019,85:189-199. doi: 10.1016/j.isatra.2018.10.024
    [8]
    GE Hengqing, MA Xiaoping, WU Xinzhong, et al. Fuzzy PID control of mine main fan switchover aiming at invariant ventilation[C]. International Conference on Intelligence Science and Information Engineering, Wuhan, 2011: 325-328.
    [9]
    董素玲. 基于模糊控制的煤矿主井通风机不停风倒机自动控制系统设计[J]. 工矿自动化,2015,41(9):39-43.

    DONG Suling. Design of automatic switchover control system without blowing-out of mine main ventilator based on fuzzy control[J]. Industry and Mine Automation,2015,41(9):39-43.
    [10]
    WANG Qianjin,DAI Wei,MA Xiaoping,et al. Multiple models and neural networks based adaptive PID decoupling control of mine main fan switchover system[J]. IET Control Theory and Applications,2018,12(4):446-455. doi: 10.1049/iet-cta.2017.0701
    [11]
    孙涛,夏振兴,王前进. 矿井通风机倒机过程自适应PID抗饱和控制器设计[J]. 工矿自动化,2019,45(3):90-94.

    SUN Tao,XIA Zhenxing,WANG Qianjin. Design of adaptive PID anti-saturation controller in switchover process of mine ventilator[J]. Industry and Mine Automation,2019,45(3):90-94.
    [12]
    王前进,代伟,杨春雨,等. 煤矿主通风机切换系统建模与分析[J]. 煤炭学报,2018,43(增刊2):606-614.

    WANG Qianjin,DAI Wei,YANG Chunyu,et al. Modeling and analysis of coal mine main fan switchover system[J]. Journal of China Coal Society,2018,43(S2):606-614.
    [13]
    WANG Hao,NIE Wen,CHENG Weimin,et al. Effects of air volume ratio parameters on air curtain dust suppression in a rock tunnel's fully-mechanized working face[J]. Advanced Powder Technology,2018,29(2):230-244. doi: 10.1016/j.apt.2017.11.007
    [14]
    RAY A L,COUSE D. Cement plant fan efficiency upgrades[J]. IEEE Transactions on Industry Applications,2017,53(2):1562-1568. doi: 10.1109/TIA.2016.2631526
    [15]
    ZHENG Yan,WANG Jun. Model predictive control for tracking of underactuated vessels based on recurrent neural networks[J]. IEEE Journal of Oceanic Engineering,2012,37(4):717-726. doi: 10.1109/JOE.2012.2201797
    [16]
    XIAO Hanzhen,LI Zhijun,YANG Chenguang,et al. Robust stabilization of a wheeled mobile robot using model predictive control based on neurodynamics optimization[J]. IEEE Transactions on Industrial Electronics,2016,64(1):505-516.
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