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选煤场浓缩池溢流浓度控制方法研究

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浓缩池溢流浓度的监测与控制方法是选煤厂实现智能化选煤的关键之一,针对仅采用传感器的溢流浓度监测与控制方式会导致絮凝剂调节滞后的问题.搭建一套浓缩池自动加药系统,该系统采用BP神经网络与模糊自抗扰控制器(Active Disturbance Rejection Control,ADRC)相结合的监测与控制方法,实现浓缩池溢流浓度的稳定控制,避免因絮凝剂添加量问题直接影响浓缩反应,进而影响絮凝沉降效果.通过仿真对比,该方法比采用PID控制的自动加药系统稳定性更高,可有效应对絮凝剂调节的滞后问题,为选煤厂浓缩池溢流浓度控制提出了新的方案.
Research on overflow concentration control method of concentrator in coal preparation plant
The monitoring and control method of overflow concentration in concentrator is one of the keys to realize intelligent coal preparation in coal preparation plant,aiming at the problem that the over-flow concentration monitoring and control method only using sensor will lead to the lag of flocculant reg-ulation.Aiming at this problem,a concentrator automatic dosing system is built,which uses the moni-toring and control method combined with BP neural network and fuzzy Active Disturbance Rejection Control(ADRC)to realize the stability control of the overflow concentration of the concentrator.The concentration reaction should not be directly affected by the amount of flocculant added,thus affecting the flocculation settling effect.Through simulation comparison,the proposed method has higher stability than the automatic dosing system using PID control,and can effectively deal with the lag problem of flocculant regulation.A new scheme is proposed for the overflow concentration control of concentrator in coal preparation plant.

intelligent coal preparationautomatic dosing systemoverflow concentration controlBP neural networkfuzzy ADRC

王汾青

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煤炭科学技术研究院有限公司

煤矿应急避险技术装备工程研究中心

北京市煤矿安全工程技术研究中心,北京 100013

智能化选煤 自动加药系统 溢流浓度控制 BP神经网络 模糊ADRC

2024

工业仪表与自动化装置
陕西鼓风机(集团)有限公司

工业仪表与自动化装置

CSTPCD
影响因子:0.393
ISSN:1000-0682
年,卷(期):2024.(1)
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