周晓敏, 张清东, 王长松, 陈守群, 何汝迎, 许健勇. 基于BP神经网络的CVC冷连轧机板形预测控制模型[J]. 工程科学学报, 2000, 22(4): 374-376. DOI: 10.13374/j.issn1001-053x.2000.04.055
引用本文: 周晓敏, 张清东, 王长松, 陈守群, 何汝迎, 许健勇. 基于BP神经网络的CVC冷连轧机板形预测控制模型[J]. 工程科学学报, 2000, 22(4): 374-376. DOI: 10.13374/j.issn1001-053x.2000.04.055
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ZHOU Xiaomin, ZHANG Qingdong, WANG Changsong, CHEN Shouqun, HE Ruying, XU Jianyong. CVC Tandem Mill Flatness Predictive Control Model Based on BP Neural Networks[J]. Chinese Journal of Engineering, 2000, 22(4): 374-376. DOI: 10.13374/j.issn1001-053x.2000.04.055
Citation: ZHOU Xiaomin, ZHANG Qingdong, WANG Changsong, CHEN Shouqun, HE Ruying, XU Jianyong. CVC Tandem Mill Flatness Predictive Control Model Based on BP Neural Networks[J]. Chinese Journal of Engineering, 2000, 22(4): 374-376. DOI: 10.13374/j.issn1001-053x.2000.04.055
shu

基于BP神经网络的CVC冷连轧机板形预测控制模型

CVC Tandem Mill Flatness Predictive Control Model Based on BP Neural Networks

    摘要
  • 摘要: 将BP神经网络建模方法与预测控制思想相结合用于宽带钢板形自动控制,研究并建立了基于BP神经网络的板形预测控制数学模型.经用宝钢1420mm冷轧实测数据仿真验证表明该模型具有很高的预测精度.

     

    Abstract: The application of BP neural networks and predictive control algorithms to AFC (Auto Flatness Control) system is studied, and a predictive control algorithms based on BP neural networks are offered.Simulation by computer using data get from 1420mm CVC tandem mill of Shanghai Baoshan Iron and Steel Company is investigated. The results show that this algorithms can be applicated to AFC system and it's results are good.

     

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