The application on fuzzy neural control in boiler liquid level control system

被引：0
|
作者：
Cheng, Huanxin [1 ]
Zhang, Guoqing [1 ]
Li, Jing [1 ]
Cheng, Li [2 ]
Kong, Lingling [3 ]
机构：
[1] Qingdao Univ Sci & Technol, Qingdao, Shandong, Peoples R China
[2] Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi, Xinjiang, Peoples R China
[3] Res Inst Phys & Chem Engn Nucl Ind, Tianjin, Peoples R China
来源：
ADVANCES IN ENERGY, ENVIRONMENT AND MATERIALS SCIENCE | 2016年
关键词：
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：
For the character of nonlinear and the time-varying in industrial boiler liquid level control process, which has been difficult to meet the requirements of control precision of nonlinear system based on the conventional PID cascade control, the paper puts forward the boiler liquid level control based on fuzzy neural network. It aims to put the self-learning ability of neural network into fuzzy control, which does not need to establish specific mathematical model to achieve the level control. Through the MATLAB design and simulation of the boiler liquid level system, the results are compared with the conventional PID control and fuzzy PID control, then it shows that the method is effective.
引用
收藏
页码：451 / 454
页数：4
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