Control of a selective catalytic reduction system based on NARMA-L2 model

被引：0
|
作者：
Han, W. M. [1 ]
Wang, Y. J. [1 ]
Zheng, T. X. [1 ]
Zhou, T. L. [1 ]
Zhang, Y. [2 ]
Tan, R. [2 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Adv Mfg Engn, Chongqing 400065, Peoples R China
来源：
2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING | 2017年 / 59卷
关键词：
NOX;
D O I：
10.1088/1755-1315/59/1/012036
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：
The plant of the selective catalytic reduction (SCR) system is characterized by significant nonlinearity, time delay and temperature sensitivity. In order to control the urea injection accurately, the (nonlinear auto regressive moving average) NARMA-L2 model based control is applied to the SCR system. In this paper, a data-based technique is taken and a model of the plant is identified on the basis of input-output data. Then the identified model is used to the design of a NARMA-L2 controller. Simulation of the NARMA-L2 model based control for the SCR system is presented to demonstrate the effectiveness and superiority. The comparison results show better performance over the traditional PID control.
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页数：4
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