| 基于NNARMAX辨识的最佳含氧量自主寻优 |
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| 引用本文： | 黄超,徐向东.基于NNARMAX辨识的最佳含氧量自主寻优[J].清华大学学报(自然科学版),2007,47(2):215-218. |
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| 作者姓名： | 黄超 徐向东 |
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| 作者单位： | 清华大学,热能工程系,北京,100084 |
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| 摘 要： | 针对热工过程机理建模存在的局限性,以及常规含氧量设定准则确定中存在的问题,利用锅炉燃烧子系统在长期运行过程中积累的大量历史数据,采用NNARMAX(NN-based AutoRegressive,Moving Average,eXternal input)辨识结合网络结构优化方法对运行数据进行辨识,得到能够描述含氧量以及其他锅炉运行参数同主蒸汽流量之间复杂的动态耦合关系的模型。利用该模型实现最佳含氧量给定自主寻优,并且用于某厂75t/h锅炉燃烧优化调节系统中,取得了良好的工程应用效果。
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| 关 键 词： | 锅炉燃烧优化 热工过程 NNARMAX辨识 最佳含氧量 |
| 文章编号： | 1000-0054(2007)02-0215-04 |
| 修稿时间： | 2006年3月21日 |
Self-determined optimal oxygen-content setting based on NNARMAX identification |
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| HUANG Chao,XU Xiangdong.Self-determined optimal oxygen-content setting based on NNARMAX identification[J].Journal of Tsinghua University(Science and Technology),2007,47(2):215-218. |
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| Authors: | HUANG Chao XU Xiangdong |
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| Abstract: | Current empirical models do not accurately predict thermal processes and the optimium oxygen content in industrial boilers. An improved dynamic nonlinear model based on NNARMAX (NN-based AutoRegressive, Moving Average, eXternal input) identification and neural network structure reinforcement was developed from abundant existing historical data to more accurately reflect the dynamic coupling between the main steam flow, the oxygen content and other key parameters in simulations and field tests. Tests using the burner control system of a 75 t/h boiler demonstrated that the optimal dynamic oxygen content is accurately determined by the nonlinear model. |
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| Keywords: | boiler burning optimization thermal process NNARMAX (NN-based AutoRegressive Moving Average eXternal input) identification optimal oxygen-content parameter |
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