| 基于神经网络质量模型的磨矿过程智能控制 |
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| 引用本文： | 刘建书,邹建华,万百五,万维汉,王锐. 基于神经网络质量模型的磨矿过程智能控制[J]. 有色金属, 2004, 56(1): 86-89 |
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| 作者姓名： | 刘建书 邹建华 万百五 万维汉 王锐 |
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| 作者单位： | 1. 西安交通大学系统工程研究所,西安,710049
2. 金川有色金属公司自动化研究所,甘肃,金昌,737104 |
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| 摘 要： | 通过分析实际磨矿过程的生产状况和基本生产数据,建立在磨矿过程中结合比值调节控制前水和给矿量,运用专家 系统对给矿量进行优化控制和基于神经网络质量模型的智能控制方法。实际仿真研究表明,该方法能够提高生产效率,解决磨矿 过程中有一定难度的溢流浓度和分级粒度控制问题。
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| 关 键 词： | 选矿工程 磨矿过程 质量模型 神经网络 专家系统 智能控制 |
| 文章编号： | 1001-0211(2004)01-0086-04 |
| 修稿时间： | 2002-12-15 |
Intelligent Control of Grinding Process Based on Neural Network Quality Model |
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| LIU Jian-shu,ZOU Jian-hua,WAN Bai-wu,WAN Wei-han,WANG Rui. Intelligent Control of Grinding Process Based on Neural Network Quality Model[J]. Nonferrous Metals, 2004, 56(1): 86-89 |
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| Authors: | LIU Jian-shu ZOU Jian-hua WAN Bai-wu WAN Wei-han WANG Rui |
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| Abstract: | The intelligent control system with the expert system and the neural network quality model as well as PID feeding adjustment of ore and water is established on the basis of the analysis of the practical production situation and the basic production data in the grinding process for milling shop of Jinchuan Nonferrous Metals Corporation. Practical simulation and research show that the production efficiency of the milling system is increased, and the overflowing concentration and size grading control are satisfied by use of this system. |
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| Keywords: | mineral processing grinding process quality model neural network expert system intelligent control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
