| 常压塔柴油凝点动态软测量模型的研究 |
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| 引用本文： | 毛帅,熊智华,徐用懋,庄爱霞,黄海龙,王立群. 常压塔柴油凝点动态软测量模型的研究[J]. 控制工程, 2005, 12(4): 342-345 |
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| 作者姓名： | 毛帅 熊智华 徐用懋 庄爱霞 黄海龙 王立群 |
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| 作者单位： | 清华大学,自动化系,北京,100084;中石化,济南分公司,山东,济南,250101 |
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| 基金项目： | 国家自然科学基金资助项目(60404012) |
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| 摘 要： | 研究了某炼油厂常压塔三线柴油凝点的软测量建模问题。分析了影响柴油凝点的多种因素，并充分利用仪表分析值提供的被测变量历史信息，建立了一种神经网络和kvinson预测器相结合的动态软测量模型，该模型消除了分析值存在纯滞后的影响。针对某炼油厂常压塔三线柴油凝点的软测量，对该模型进行了验证。仿真研究表明，该模型的预报准确性要优于静态软测量模型，取得了较好的预测效果。
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| 关 键 词： | 神经网络 Levinson预测器 动态软测量模型 柴油凝点 |
| 文章编号： | 1671-7848(2005)04-0342-04 |
| 修稿时间： | 2005-02-28 |
Dynamic Soft-sensor Model of Diesel Oil Solidifying Point on a Crude Distillation Unit |
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| MAO Shuai,XIONG Zhi-hua,XU Yong-mao,ZHUANG Ai-xia,HUANG Hai-long,WANG Li-qun. Dynamic Soft-sensor Model of Diesel Oil Solidifying Point on a Crude Distillation Unit[J]. Control Engineering of China, 2005, 12(4): 342-345 |
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| Authors: | MAO Shuai XIONG Zhi-hua XU Yong-mao ZHUANG Ai-xia HUANG Hai-long WANG Li-qun |
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| Affiliation: | MAO Shuai~1,XIONG Zhi-hua~1,XU Yong-mao~1,ZHUANG Ai-xia~2,HUANG Hai-long~2,WANG Li-qun~2 |
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| Abstract: | Neural network based soft sensor models of diesel oil solidifying point(DOSP) on a crude distillation unit are discussed.To fully utilize historial data set of output variable obtained by online analysis device,a dynamic soft sensor model of DOSP is developed by a feed-forward neural network that is combined with a Levinson predictor.The Levinson predictor provides multi-step-ahead predictions of output recursively,so the model can diminish the output delays of online analysis device significantly.The simulation results show that the proposed model of DOSP is better than a general static soft sensor model. |
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| Keywords: | neural network Levinson predictor dynamic soft sensor model diesel oil solidifying point |
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