| 智能方法在板形控制中的应用 |
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| 引用本文： | 刘宏民,贾春玉,单修迎. 智能方法在板形控制中的应用[J]. 燕山大学学报, 2010, 34(1): 1-5,17 |
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| 作者姓名： | 刘宏民 贾春玉 单修迎 |
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| 作者单位： | 燕山大学,轧制设备及成套技术教育部工程研究中心,河北,秦皇岛,066004 |
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| 基金项目： | 国家自然科学基金资助项目(50675186);;河北省自然科学基金重大资助项目(E2006001038) |
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| 摘 要： | 介绍了智能方法在轧制领域特别是在板形控制中的研究进展。阐述了神经网络、模糊控制、遗传算法、粒子群算法等智能方法在板形模式识别模型、板形预报模型、板形控制的液压弯辊控制模型和轧辊分段冷却控制模型中的应用,表明将智能方法引入板形控制中,改变了依赖经验和传统方法进行板形控制的局面,为板形控制建模走出了一条新途径。
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| 关 键 词： | 神经网络 模糊 智能 模式识别 板形预报 液压弯辊 分段冷却 板形控制 |
Application of intelligent methods in flatness control |
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| LIU Hong-min,JIA Chun-yu,SHAN Xiu-ying. Application of intelligent methods in flatness control[J]. Journal of Yanshan University, 2010, 34(1): 1-5,17 |
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| Authors: | LIU Hong-min JIA Chun-yu SHAN Xiu-ying |
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| Affiliation: | Engineering Research Center of Rolling Equipment and Complete Technology of Ministry of Education;Yanshan University;Qinhuangdao;Hebei 066004;China |
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| Abstract: | The present application status of intelligent methods in rolling domain,especially in flatness control is introduced.The applications of all kinds of intelligent methods,such as neural network,fuzzy control,genetic algorithm and microparticle swarm algorithm,in flatness pattern recognition model,flatness prediction model,hydraulic bending roll control model and roll subsectional cooling control model for flatness control are expatiated.It is indicated that using intelligent methods in flatness changes the s... |
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| Keywords: | neural network fuzzy intelligent pattern recognition flatness prediction hydraulic bending roll roll sub-sectional cooling flatness control |
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