摘要
针对气固两相流颗粒团聚效应改变局部流场分布、导致流场不均进而影响流速控制准确性的问题,提出考虑气固两相流颗粒团聚效应的输灰系统最佳输送流速控制算法。基于输灰系统的工作特性,建立了输灰系统的输送模型,并通过引入传递函数来推导清水和砂水混合物在管道中的流速局部关系;利用仿真软件建立了颗粒碰撞模型,并结合单颗粒运动方程和质量守恒方程,对气固两相流中的颗粒团聚效应进行了数值模拟;构建颗粒空间频谱波幅变化图,据此得出颗粒信息,以监测输灰系统输送流速;构建了PID控制模型,并利用损失函数和梯度下降法对模型进行了优化,以得到最佳输送流速调整量,从而实现对输灰系统最佳输送流速的控制。实验结果表明,该算法控制下的输送流速偏差小于0.3 m/s,显示出较高的控制准确性,能够有效保证输灰系统的稳定运行。
To address the issue of particle agglomeration effects in gas-solid two-phase flow altering the local flow field distribution,causing flow field unevenness,and thereby affecting the accuracy of flow velocity control,we propose an optimal conveying flow velocity control algorithm for ash conveying systems that takes into account the particle agglomeration effects in gas-solid two-phase flow.Based on the working characteristics of the ash conveying system,this study established a conveying model of the ash conveying system,and derived the local relationship between the flow velocity of the mixture of clean water and sand water in the pipeline by introducing a transfer function.This study used simulation software to establish a particle collision model,and combined the single particle motion equation and the mass conservation equation to numerically simulate the particle agglomeration effect in gas-solid two-phase flow.A particle spatial frequency spectrum wave amplitude change diagram was constructed to obtain particle information,which was used to monitor the conveying flow velocity of the ash conveying system.A PID control model was constructed,and the model was optimized using loss function and gradient descent method to obtain the optimal conveying flow velocity adjustment amount,thereby achieving control of the optimal conveying flow velocity of the ash conveying system.The experimental results show that the conveying flow velocity deviation under the control of this algorithm was less than 0.3 m/s,displaying high control accuracy,and it can effectively ensure the stable operation of the ash conveying system.
作者
景杰
JING Jie(Beijing Jingneng Electric Power Co.,Ltd.,Beijing 100041,China)
出处
《机械与电子》
2025年第12期18-23,共6页
Machinery & Electronics
基金
山西漳山发电有限责任公司项目(DL2024134)。
关键词
气固两相流
颗粒团聚
输灰系统
流速控制
质量守恒
gas-solid two-phase flow
particle agglomeration
ash conveying system
flow rate control
conservation of mass
