Recursive PLS-based Soft-sensing for Outlet Temperature of New Dry Cement Decomposing Furnace

被引：0
|
作者：
Liu, Xu [1 ]
Feng, Lihui [1 ]
Wen, Kaifen [1 ]
机构：
[1] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650051, Peoples R China
来源：
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年
关键词：
Cement decomposing furnace; The outlet temperature; Soft-sensing; Recursive PLS;
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：
There are many factors and hysteresis affecting the outlet temperature of cement decomposing furnace. In order to improve real time control of the outlet temperature, this paper adopted soft-sensing method based on Recursive PLS to predict it. According to historical data in the DCS of a 2000t/d new dry cement process production line, the main auxiliary variables were determined, the soft prediction model of the outlet temperature was established by using MLR, PCA, PLS and Recursive PLS. Compared and verified, the result shows that Recursive PLS-based soft prediction model had better performance.
引用
收藏
页码：2718 / 2721
页数：4
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