引用本文: | 褚 菲,朱安强,冯浩彬,王建文,马小平.空气重介质流化床选煤流程建模与动态仿真[J].控制理论与应用,2025,42(5):1039~1047.[点击复制] |
CHU Fei,ZHU An-qiang,FENG Hao-bin,WANG Jian-wen,MA Xiao-ping.Dynamic simulation and modeling of the process of dry coal preparation with air dense medium fiuidized bed[J].Control Theory & Applications,2025,42(5):1039~1047.[点击复制] |
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空气重介质流化床选煤流程建模与动态仿真 |
Dynamic simulation and modeling of the process of dry coal preparation with air dense medium fiuidized bed |
摘要点击 2560 全文点击 25 投稿时间:2023-04-27 修订日期:2024-11-06 |
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DOI编号 10.7641/CTA.2024.30280 |
2025,42(5):1039-1047 |
中文关键词 煤炭选矿 空气重介质流化床 机理建模 仿真平台 过程控制 |
英文关键词 coal beneficiation air dense medium fluidized bed first principle simulation platform process control |
基金项目 国家自然科学基金项目(61973304, 61873049, 62073060), 江苏省六大人才高峰项目(DZXX–045), 中央高校基本科研业务费项目(2019XKQYMS 64)资助. |
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中文摘要 |
空气重介质流化床干法选煤技术具有用水量少、污染小、成本低等优点, 非常适合我国西北干旱地区的选
煤应用. 然而, 由于缺乏有效可靠的动态机理模型, 导致空气重介质流化床选煤过程控制策略的开发与验证发展缓
慢. 针对这一问题, 本文基于质量守恒等原理建立了一种空气重介质流化床选煤全流程仿真模型. 首先, 通过对流
化床选煤过程各关键设备的机理分析, 建立相应工艺环节的数学模型. 然后, 基于MATLAB/Simulink实现模块开发,
根据工艺将各模块联结形成完整的工艺回路, 通过参数辨识保证模型的准确度. 最后, 通过仿真实验说明了所建模
型的有效性, 为空气重介质流化床选煤过程先进控制方法和优化策略的研究提供了理论基础. |
英文摘要 |
The air dense medium fluidized bed (ADMFB) dry coal preparation technology has the advantages of less
water consumption, less pollution and lower cost, so it is suitable for coal preparation applications in arid areas in northwest
China. However, control strategy of ADMFB separation circuits is developing slowly due to the lack of appropriate model.
To solve this problem, a coal preparation ADMFB circuit platform was developed in this paper. Firstly, by analyzing the
mechanism of each key equipment of the ADMFB circuit. the corresponding part of circuit dynamic mathematical models
are developed. Then for simulate the operation performance of the whole ADMFB circuit, a complete model of ADMFB
separation circuits was developed based on MATLAB/Simulink, in which the model parameters were identified. Finally,
the effectiveness of the circuit 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 ADMFB dry coal preparation. |
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