Dynamic Model Based Optimization Control for Combustion Process of Coke Oven

被引：0
|
作者：
Lei Qi [1 ,2 ,3 ]
Wu Min [1 ,2 ]
Li Jing Yu [1 ,2 ]
机构：
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
[2] Hunan Engn Lab Adv Control & Intelligent Automat, Changsha 410083, Hunan, Peoples R China
[3] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
来源：
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
关键词：
Combustion Process of Coke Oven; Just-in-Time Learning; Fuzzy Control; Differential Evolution Algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In view of large range change of operating status of combustion process and difficulties in building global model and timely optimizing control parameters, this paper presents dynamic model based optimization control method using the property that just-in-time learning model can rapidly reflect process change characteristics. Based on the idea of local modeling, distance and change trend angle between samples are both considered to choose data and create an online sample library. With this dynamic sample library, a dynamic model for combustion process of coke oven is build. And based on the dynamic process model, the differential evolution algorithm is applied to optimization the universe parameters of fuzzy control to ensure the controller can meet the dynamic changes of the combustion process of coke oven. Simulations verified the effectiveness of the method.
引用
收藏
页码：7107 / 7112
页数：6
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