Hybrid modeling and control of nonlinear Wet Flue Gas Desulphurization process

被引：0
|
作者：
Shi, Yun-Tao [1 ]
Sun, De-Hui [1 ]
Li, Zhi-Jun [1 ]
Chen, Nian-Si [1 ]
Qing, Wang [1 ]
Gao, Dong-Jie [1 ]
机构：
[1] N China Univ Technol, Beijing 100041, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
hybrid systems; Wet Flue Gas Desulphurization; Mixed logical dynamics; predictive control; Mixed Integer Quadratic program;
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：
The optimization and control problem of Wet Flue Gas Desulphurization (WFGD) in power plant was studied. Mixed logical dynamical (MLD) model was built to describe hybrid phenomenon of the WFGD process. Based on the mixed logic dynamical model of WFGD, the predictive control optimization problem was solved using the Mixed Integer Quadratic program (MIQP) solver. Therefore the optimal discrete decision variable (the number of LG pump) and the continuous variable decision variable (PH set-point) were obtained on line. The real-time optimization was implemented. A MLD model of PH was also developed based on which the predictive controller of PH was designed. The simulation results indicate that the predictive control based on MLD model scheme presented had good effect.
引用
收藏
页码：726 / 730
页数：5
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