HYBRID MODELING AND CONTROL OF NONLINEAR WET FLUE GAS DESULPHURIZATION PROCESS

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.

关键词： Hybrid systems Wet flue gas desulphurization Mixed logical dynamics Predictive control Mixed integer quadratic program

作者: YUN-TAO SHI DE-HUI SUN ZHI-JUN LI NIAN-SI CHEN WANG QING DONG-JIE GAO

作者单位: North China University of Technology, Beijing, 100041, China;Institute of Automation, Chinese Academ North China University of Technology, Beijing, 100041, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 726-730

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）