| 基于Hopfield神经网络的板形预测控制模型 |
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| 引用本文： | 周晓敏,张清东,王长松,华建新,陈华昶,王欣,童立靖.基于Hopfield神经网络的板形预测控制模型[J].上海金属,2007,29(2):44-47. |
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| 作者姓名： | 周晓敏 张清东 王长松 华建新 陈华昶 王欣 童立靖 |
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| 作者单位： | 1. 北京科技大学机械工程学院,北京,100083
2. 宝山钢铁集团公司设备部 |
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| 摘 要： | 将Hopfield神经网络建模方法与预测控制思想相结合用于带钢板形自动控制,建立了基于Hopfield神经网络的板形的模型算法预测控制系统数学模型。模型经仿真验证表明能较好地跟踪目标值,并具有较强的抗干扰能力。
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| 关 键 词： | Hopfield神经网络 板形自动控制 预测控制模型 |
| 修稿时间： | 2006-10-10 |
THE FLATNESS PREDICTIVE CONTROL MODEL BASED ON HOPFIELD NEURAL NETWORKS |
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| Zhou Xiaomin,Zhang Qingdong,Wang Changsong,Hua Jianxin,Chen Huachang,Wang Xin,Tong Lijing.THE FLATNESS PREDICTIVE CONTROL MODEL BASED ON HOPFIELD NEURAL NETWORKS[J].Shanghai Metals,2007,29(2):44-47. |
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| Authors: | Zhou Xiaomin Zhang Qingdong Wang Changsong Hua Jianxin Chen Huachang Wang Xin Tong Lijing |
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| Affiliation: | College of Mechanical Engineering, USTB;Baosteel Group Corporation |
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| Abstract: | The modeling of Hopfield neural networks was combined with the predictive control algorithm to the AFC(Auto Flatness Control)system,a model of algorithmic control based on these neural networks were offered for the flatness predictive control.The simulation by computer with the production data showed that this algorithm could trail the target value preferably,and has excellent anti-disturbance ability. |
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| Keywords: | Hopfield Neural Networks Automatic Flatness Control Predictive Control Model |
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