Research and Design of Denitrification Based on Fuzzy Neural Network

摘要：

　　Circulating fluidized bed boiler is a kind of clean coal combustion technology with good fuel applicability and is widely used.The low throughput is one of the biggest advantages of this technology.To meet national emission standards, a denitration system is also needed.Due to the nonlinear, time-varying and large lag characteristics of the denitration system, the conventional PID is difficult to control accurately.The fuzzy PID has superiority in solving nonlinear and large lag systems, but the fuzzy rules and membership functions need experience and data.In order to obtain, lack of learning ability, this paper is based on fuzzy PID control, adding neural network control, using the learning ability of neural network,optimizing fuzzy control rules and membership functions, and improving the control ability of the system.

关键词： denitrification fuzzy control RBF neural network fuzzy neural network

作者: Wei Xin Zhang Yuan-yuan

作者单位: Master student, School of Mathematical Sciences, Shanxi University, Taiyuan Shanxi 030000, China PhD student, North China Electric Power University, Beijing 102200, China

会议类型: 国际会议

会议名称: Proceeding of 2nd Conference of Circulating Fluidized Bed Boiler ( 第二届国际循环流化床锅炉会议)

会议地点: 青岛

会议语种:英文

页码: 86-90

在线出版日期: 2019-07-19（万方平台首次上网日期，不代表论文的发表时间）