面向过程控制的煤泥浮选机理建模与仿真研究  

Modeling and Simulation of Coal Slurry Flotation Mechanism for Process Control

作　　者：褚菲 王佩[1] 朱安强 张海军 CHU Fei;WANG Pei;ZHU Anqiang;ZHANG Haijun(Underground Space Intelligent Control Engineering Research Center of the Ministry of Education,School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,China;Artificial Intelligence Research Institute,China University of Mining and Technology,Xuzhou 221116,China;School of Chemical Engineering and Technology,China University of Mining and Technology,Xuzhou 221116,China)

机构地区：[1]中国矿业大学信息与控制工程学院地下空间智能控制教育部工程研究中心,江苏徐州221116 [2]中国矿业大学人工智能研究院,江苏徐州221116 [3]中国矿业大学化工学院,江苏徐州221116

出　　处：《控制工程》2024年第12期2129-2139,2166,共12页Control Engineering of China

基　　金：国家自然科学基金资助项目(61973304,61503384);江苏省科技计划项目(BK20191339);江苏省六大人才高峰项目(DZXX-045);校基本学科前沿科学研究项目(2019XKQYMS64)。

摘　　要：煤泥浮选过程是变量耦合、时滞及非线性的复杂工业过程,其动态模型的建立是研究煤泥浮选过程智能控制方法的基础。针对现有煤泥浮选过程控制模型难以反映实际煤泥浮选过程全流程运行动态特性的问题,基于质量守恒原理建立了一种煤泥浮选过程全流程仿真模型。首先,通过对煤泥浮选过程各关键设备的机理分析,建立了相应工艺环节的数学模型;其次,为模拟煤泥浮选过程全流程运行状态,联结各模块构建了完整的煤泥浮选过程模型,其中,模型参数采用粒子群优化(particle swarm optimization,PSO)算法辨识得到。最后,通过仿真实验验证了所建模型的有效性,为煤泥浮选过程先进控制方法和优化策略的研究提供了理论基础。The coal slurry flotation process is a complex industrial process with variable coupling,time-delay and nonlinearity.A suitable dynamic process model is necessary for the research of intelligent control of coal slurry flotation process.In view of the problem that most existing models of coal slurry flotation process is difficult to reflect the dynamic characteristics of the whole process operation of the actual coal slurry flotation process.A first principle dynamic mathematical model is developed for a coal slurry flotation circuit.Firstly,by analyzing the mechanism of each key equipment of the coal slurry flotation process,the corresponding part of process dynamic mathematical models are developed.Secondly,for simulate the operation performance of the whole process of coal slurry flotation,a complete model of the coal slurry flotation process is constructed by linking the modules,in which the model parameters are identified by particle swarm optimization(PSO).Finally,the effectiveness of the proposed model is verified by the simulation experiment,and the research results can provide theoretical basis for the research of advanced control methods and optimization strategies in coal slurry flotation process.

关 键 词：煤炭选矿 泡沫浮选 机理建模 非线性 过程控制 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TD94[自动化与计算机技术—计算机科学与技术]