| 引用本文: | 秦 斌, 王 欣, 吴 敏, 阳春华.基于混沌混合优化的回转干燥窑出料含水量软测量[J].控制理论与应用,2005,22(5):825~828.[点击复制] |
| QIN Bin,WANG Xin,WU Min,YANG Chun-hua.Soft-sensor for the water content of dregs in rotary dryer kiln based on hybrid chaos optimization algorithm[J].Control Theory and Technology,2005,22(5):825~828.[点击复制] |
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| 基于混沌混合优化的回转干燥窑出料含水量软测量 |
| Soft-sensor for the water content of dregs in rotary dryer kiln based on hybrid chaos optimization algorithm |
| 摘要点击 1331 全文点击 791 投稿时间：2004-01-13 修订日期：2005-02-18 |
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| DOI编号 10.7641/j.issn.1000-8152.2005.5.031 |
| 2005,22(5):825-828 |
| 中文关键词 软测量 RBF网络 模糊聚类 混沌优化 回转干燥窑出料含水量 |
| 英文关键词 soft-sensor radial basis function network fuzzy clustering chaos optimazation water content of the dregs of rotary dryer kiln |
| 基金项目 国家十五863计划资助项目(2001AA11040);湖南省教育厅资助项目(04C718) |
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| 中文摘要 |
| 回转干燥窑由于出料含水量难以在线测量,其过程控制一直是一大难题.本文在分析回转干燥窑干燥过程的基础上,提出了基于分布式RBF网络的出料含水量软测量模型及其优化学习算法,首先根据先验知识和聚类将输入空间划分成多个子空间,对于每个子空间的RBF网络,由FCM算法和分区校验熵确定隐含节点数,中心向量的学习采用混沌优化与FCM相结合的混合算法.设计了获取样本数据的实验,得到了出料含水量软测量模型,此模型已成功应用于干燥窑的推断控制中. |
| 英文摘要 |
| It is difficult to control the process for rotary dryer kiln because the reliable online measurement for the water content of dregs is hardly available.Based on analysis of the drying process of rotary dryer kiln,this paper proposes a distributed RBF neutral network soft-sensor model for water content of dregs and a new hybrid optimal algorithm.The input space is divided into multi-subspace by using prior knowledge and fuzzy clustering.For the RBF network with each subspace,the number of hidden nodes is determined by using the fuzzy c-mean(FCM) clustering algorithm and clustering validity criteria,the learning of center vector adopts the hybrid optimization algorithm combining the chaos optimization with FCM.Experiments of acquiring the sample data are designed.The model has been built and successfully used in the inference control of rotary dryer kiln. |
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