Dynamic Modeling of The Main Steam Temperature Based on Adaptive Neuro-Fuzzy Inference System

被引：0
|
作者：
Lu, Hongbo [1 ]
Sun, Weihua [1 ]
Wu, Changkai [1 ]
Zhang, Yu [2 ]
机构：
[1] Northeast Dianli Univ, Sch Energy & Power Engn, Jilin 132012, Peoples R China
[2] Huaneng Power Int Co Ltd, Rizhao City 276826, Peoples R China
来源：
2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2011年
关键词：
ANFIS; main steam temperature; dynamic model; system identification;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper the dynamic model of multi-input and single-output is established, which takes the coal feed and water feed as the inputs and the main steam temperature as the output. Adaptive Network-based Fuzzy Inference System (ANFIS) is used to establish the system model, and using the field data on the identification and checking of model. The results show that the output of identification is consistent with actual output by using of the field data to verify the accuracy of model further.
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页数：4
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