Temperature Control in Cement Rotary Kiln with Neural Network-Based Heuristic Dynamic Programming

被引：0
|
作者：
Lin, Xiaofeng [1 ]
Liu, Tangbo [1 ]
Cao, Deguang [1 ]
Huang, Qingbao [1 ]
机构：
[1] Guangxi Univ, Nanning 530004, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS | 2009年 / 5552卷
关键词：
Cement rotary kiln; Model; Approximate Dynamic Programming (ADP); Heuristic Dynamic Programming (HDP);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
During the production process of modern cement industry, the rotary kiln is the key equipment The temperature of cement rotary kiln is a large lag, large inertia, complex nonlinear controlled object. There are many external factors influencing the temperature, and there exist coupling and uncertainties amono various factors. Approximate Dynamic Programming (ADP) is an on line control approach that based on actual data rather than on the accurate mathematical model of the controlled object. Through technical studies on the cement rotary kiln, this paper proposes to control the temperature of rotary kiln by using Heuristic Dynamic Programming (HDP) which is a type of ADP. A simulation of the cement rotary kiln is carried Out using Matlab. The simulation results show that the HI)P controller has good performance. It is possible to keep the temperature of sintering zone stable in it certain range. and the temperature can meet the requirements of cement clinker production.
引用
收藏
页码：1078 / 1086
页数：9
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