| 锅炉燃烧系统的仿人智能控制 |
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| 引用本文： | 高岩,龚至豪,黄鸿. 锅炉燃烧系统的仿人智能控制[J]. 北京理工大学学报, 2002, 22(3): 315-317. DOI: 10.3969/j.issn.1001-0645.2002.03.014 |
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| 作者姓名： | 高岩 龚至豪 黄鸿 |
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| 作者单位： | 北京理工大学,自动控制系,北京,100081 |
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| 摘 要： | 提出一种锅炉燃烧系统的仿人智能控制方法.该方法根据专家知识和操作人员的经验,给出了仿人智能控制器的设计方案.针对传统控制方法难以适应锅炉负荷大幅度变化的缺点,给出了基于规则的专家式控制方法,并针对风煤配比的自寻最优控制的缺点,给出了按照经验实施的固定比例风煤配比的简单实用方法.锅炉燃烧系统仿人控制方法已在生产中得到应用,应用结果表明该方案可行,提高了系统的燃烧效率,优于传统的控制方法.
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| 关 键 词： | 智能控制 自寻最优控制 人工智能 |
| 文章编号： | 1001-0645(2002)03-0315-03 |
| 收稿时间： | 2002-01-17 |
| 修稿时间： | 2002-01-17 |
Artificial Intelligence Control of Boiler''''s Combustion System |
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| GAO Yan,GONG Zhi hao and HUANG Hong. Artificial Intelligence Control of Boiler''''s Combustion System[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2002, 22(3): 315-317. DOI: 10.3969/j.issn.1001-0645.2002.03.014 |
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| Authors: | GAO Yan GONG Zhi hao HUANG Hong |
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| Affiliation: | Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China;Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China;Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China |
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| Abstract: | A new apporach in improving traditional methods of control is presented. The paper tries to collect relevant expert knowledge and experiences of operators, and puts forward an intelligent control scheme. To compensate for the disadvantages in traditional control methods in their inability to adapt to the wide fluctuations in boiler load, it comes up with a rule based expert control method. To obviate difficulties in finding an optimum control, it presents a simple but practical method of steady wind to coal balance based on experiences. The method has been applied in actual cases, showing that it is practical. It increased the efficiency of combustion, comparing better than traditional control methods. |
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| Keywords: | intelligent control self searching optimum control artificial intelligent |
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