| FNN模型参考自适应控制在轧机液压弯辊系统中的应用 |
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| 引用本文： | 陈丽,李建更,乔俊飞,王笑波.FNN模型参考自适应控制在轧机液压弯辊系统中的应用[J].计算机测量与控制,2005,13(12):1396-1399. |
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| 作者姓名： | 陈丽 李建更 乔俊飞 王笑波 |
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| 作者单位： | 北京工业大学,电子信息与控制工程学院,北,京100022;宝钢技术中心自动化所,上海,201900 |
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| 基金项目： | 国家自然科学基金与宝钢集团公司联合资助(50274003) |
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| 摘 要： | UC轧机液压弯辊系统的数学模型具有很强的时变性和不确定性，是典型的非线性过程；针对UC轧机液压弯辊系统的特性，提出模糊神经网络模型参考自适应控制策略，并将其应用到液压巧辊控制系统中；仿真结果表明，模糊神经网络模型参考自适应控制能够很好的跟踪参考模型的设定，系统的响应快。
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| 关 键 词： | 液压弯辊 模糊神经网络 BP网络 模型参考自适应控制 |
| 文章编号： | 1671-4598(2005)12-1396-04 |
| 修稿时间： | 2005年4月30日 |
Fuzzy Neural Network Model Reference Adaptive Control Method for the Hydraulic Bending Roll in the Control System of UC Rolling Mill |
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| Chen Li,Li Jiangeng,Qiao Junfei,Wang Xiaobo.Fuzzy Neural Network Model Reference Adaptive Control Method for the Hydraulic Bending Roll in the Control System of UC Rolling Mill[J].Computer Measurement & Control,2005,13(12):1396-1399. |
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| Authors: | Chen Li Li Jiangeng Qiao Junfei Wang Xiaobo |
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| Affiliation: | Chen Li~1,Li Jiangeng~1,Qiao Junfei~1,Wang Xiaobo~2 |
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| Abstract: | The mathematical model of hydraulic bending roll system has strong time-variant property and uncertainty in the control system of UC rolling mill.To realize accurate control of bending of the intermediate rolls,a fuzzy neural network model reference adaptive control method is presented to control the hydraulic bending roll system in which fuzzy logic control and neural network are combined.The experimental result indicates that the control effect is excellent,namely small ultra-regulated and good robustness,reaching the goal of the intelligence control for shape on line. |
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| Keywords: | hydraulic bending roll fuzzy neural network BP network model reference adaptive control |
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