| 配煤过程的神经网络专家控制策略 |
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| 引用本文： | 邓春萍,吴敏.配煤过程的神经网络专家控制策略[J].中国矿业大学学报,2000,29(6):610-614. |
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| 作者姓名： | 邓春萍 吴敏 |
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| 作者单位： | 1. 长沙铁道学院,机电工程学院,湖南,长沙,410075
2. 中南工业大学,信息科学与工程学院,湖南,长沙,410083 |
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| 摘 要： | 根据钢铁工业的配煤过程，提出一种精确地决定和跟踪配煤比的神经网络专家控制策略，首先基于过程的统计数据和经验知识，建立了神经网络、经验模型和规则模型，然后结合这些网络和模型，提出一种决定配煤比的专家推理方法，最后用分布式控制系统实现配煤比的跟踪控制，实际结果证实了这种控制策略的有效性。
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| 关 键 词： | 配煤过程 专家控制 神经网络 规则模型 分布式控制系统 |
| 文章编号： | 1000-1964(2000)06-0610-05 |
| 修稿时间： | 2000-05-31 |
Neural Network Expert Control Strategy for Coal Blending Process |
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| DENG Chun-ping,WU Min.Neural Network Expert Control Strategy for Coal Blending Process[J].Journal of China University of Mining & Technology,2000,29(6):610-614. |
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| Authors: | DENG Chun-ping WU Min |
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| Affiliation: | DENG Chun-ping
(College of Mechanical & Electronic Engineering,Changsha Railway University,Changsha 410075,China)WU Min
(College of Information Science & Engineering,Central South University of Technology,Changsha 410083,China) |
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| Abstract: | A neural network expert control strategy was proposed for the coal blending process in the iron and steel industry. It is used to accurately determine the target percentage of each type of coal to be blended, and to track them. In this paper, neural networks, empirical models and rule models were first constructed based on statistical data and empirical knowledge. Then, an expert reasoning method combining the networks and models was proposed for determining the target percentages. Finally, a distributed control system was used for tracking the target percentages. The results of actual operation show the validity of the strategy. |
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| Keywords: | coal blending process expert control neural networks rule models distributed control systems |
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