| 矿井主风机不停风倒机系统最优控制研究 |
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| 引用本文： | 于保才,邵良杉.矿井主风机不停风倒机系统最优控制研究[J].中国安全生产科学技术,2022,18(2):119-124. |
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| 作者姓名： | 于保才 邵良杉 |
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| 作者单位： | (辽宁工程技术大学 系统工程研究所，辽宁 葫芦岛 125105) |
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| 基金项目： | * 基金项目: 国家自然科学基金项目（71771111） |
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| 摘 要： | 为解决矿井停机切换主要通风机过程中引起的井下风量波动很大,易造成瓦斯积聚等引发的安全问题,提出1种基于智能控制的主通风机稳风切换系统.建立动态风机倒机数学模型,提出基于改进粒子群算法优化的模糊自适应PID的控制方法,并应用MATLAB进行仿真实验,结果表明:控制方法控制效果明显,在系统运行的120 s内,井下风量波动始...
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| 关 键 词： | 稳风倒机 动态数学模型 改进粒子群算法 模糊自适应PID Matlab仿真 |
Study on optimal control of non-stop switchover system of mine main fan |
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| YU Baocai,SHAO Liangshan.Study on optimal control of non-stop switchover system of mine main fan[J].Journal of Safety Science and Technology,2022,18(2):119-124. |
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| Authors: | YU Baocai SHAO Liangshan |
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| Institution: | (Institute of Systems Engineering,Liaoning Technical University,Huludao Liaoning 125105,China) |
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| Abstract: | In order to solve the safety problem caused by the large fluctuation of underground air volume and the accumulation of gas in the shutdown and switchover processes of the mine main fans,a kind of steady wind switchover system of main fans based on the intelligent control was proposed.A mathematical model of dynamic fans switchover was established for the first time,then a control method of the fuzzy adaptive PID based on the improved particle swarm algorithm optimization was put forward,and the simulation experiment was carried out with MATLAB.The results showed that the control effect of the proposed control method was obvious.Within 120 s of system operating time,the underground air volume fluctuation was always under 0.6%,and the two main fans always worked in a stable range,so the efficiency,stability and safety of the system were proved. |
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| Keywords: | steady wind switchover dynamic mathematical model improved particle swarm algorithm fuzzy adaptive PID Matlab simulation |
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