Data-based Cement Decomposition Furnace Temperature Optimal Control

被引:0
作者
Yang Baosheng [1 ]
Liu Wansu [2 ]
Zhang Qian [2 ]
机构
[1] Suzhou Univ, Lab Intelligent Informat Proc, Suzhou 234000, Peoples R China
[2] Suzhou Univ, Sch Informat Engn, Suzhou 234000, Peoples R China
来源
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
关键词
Data-based control; decomposition furnace; temperature; neural network; heuristic dynamic programming (HDP); NONLINEAR-SYSTEMS;
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
Collected data of decomposition furnace from cement production field and used neural network to establish its model. Then the data model is used for iterative algorithm of adaptive dynamic programming, to form the data-based heuristic dynamic programming (HDP) algorithm, and training decomposition furnace controller. Control results show that the establishment of the data model can reflect the state of decomposition furnace, achieve temperature optimal control of decomposition furnace. Decomposition furnace combustion, heat transfer and the carbonate decomposition process can be optimized.
引用
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页码:7084 / 7088
页数:5
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