| 加热炉钢坯温度软测量模型研究 |
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| 引用本文： | 王锡淮,李少远,席裕庚.加热炉钢坯温度软测量模型研究[J].自动化学报,2004,30(6):928-932. |
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| 作者姓名： | 王锡淮 李少远 席裕庚 |
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| 作者单位： | 1.上海海事大学电气自动化系,上海; |
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| 基金项目： | 国家自然科学基金(69934020，60074004)
上海市高校科技发展基金(04FA02，03IK09)资助~~ |
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| 摘 要： | 研究基于模糊聚类的钢坯温度神经网络软测量模型.该方法由两个部分组成,
FCM(Fuzzy C-Means)聚类算法用来对训练样本进行分类,分布式RBF(Radial Basis Function)
网络对每类样本进行训练.在线测量时,采用自适应模糊聚类算法对新的工况数据进行
隶属度计算.文中将该算法应用于步进式加热炉钢坯温度的预报,仿真结果表明该算法的有
效性.
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| 关 键 词： | 软测量 神经网络 自适应模糊聚类 加热炉 钢坯温度 |
| 收稿时间： | 2003-2-20 |
| 修稿时间： | 2003年2月20日 |
Research on Soft Sensor Model for Slab Temperature in Reheating Furnace |
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| WANG Xi-Huai,LI Shao-Yuan,XI Yu-Geng.Research on Soft Sensor Model for Slab Temperature in Reheating Furnace[J].Acta Automatica Sinica,2004,30(6):928-932. |
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| Authors: | WANG Xi-Huai LI Shao-Yuan XI Yu-Geng |
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| Affiliation: | 1.Department of Electrical Automation,Shanghai Maritime University,Shanghai;Institute of Automation,Shanghai Jiaotong University,Shanghai |
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| Abstract: | A slab temperature neural network soft sensor model based on fuzzy clusteringis studied.The approach consists of two components:an FCM(Fuzzy C-Means)clustering,which classifies training objects into a couple of clusters,and a distributed RBF(RadialBasis Unction)network,which is used to train each cluster.In the online stage,the valuesof membership are computed using an adaptive fuzzy clustering algorithm for the new object.The proposed approach has been applied to the slab temperature estimation in an actualreheating furnace.Simulations show that the approach is effective. |
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| Keywords: | Soft sensors neural network adaptive fuzzy clustering reheating furnace slab temperature |
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