摘要
为使脱硫过程低耗高效运行,须建立基于系统模型的优化控制。为此,本文应用改进的BP网络训练方法建立了脉冲电晕法烟气脱硫过程六因素稳态模型。详细介绍了网络结构和训练过程,给出了建模结果,并与正交回归稳态模型进行了比较,其结果表明该模型具有很高精度和应用价值。最后本文对脉冲电晕法脱硫优化控制进行了讨论,提出了解决方案。
To realize lower consumption and higher efficiency in the procedure of removal of SO_2, it is necessary to establish optimizing control based
on the system model. This paper applies the improved BP-network training in establishing steady-state model of the six elements in the
industrial procedure of removal of SO_2 from flue gas by PPCP. It specifically introduces the network architecture and training process, and
gives the conclusion, compared with the orthogonal repressive steady-state model. The conclusion shows this model has high precision and
valuable in application. In the end, it discusses optimizing control of the removal of SO_2 by PPCP, and puts forward the solution.
出处
《电气自动化》
北大核心
2004年第3期11-13,共3页
Electrical Automation
基金
国家863计划课题(编号2001AA642010)
