智能控制策略在燃气锅炉燃烧优化中的应用  

Application of Intelligent Control Strategy in Combustion Optimization of Gas Boiler

作　　者：杨凯 薛美盛[2] YANG Kai;XUE Mei-sheng(China Airborne Missile Academy;School of Information Science and Technology,University of Science and Technology of China)

机构地区：[1]中国空空导弹研究院 [2]中国科学技术大学信息科学技术学院

出　　处：《化工自动化及仪表》2021年第2期114-117,174,共5页Control and Instruments in Chemical Industry

摘　　要：针对某燃气电站锅炉燃烧系统燃烧效率低下的问题,从实际工艺过程出发,构建BP神经网络非线性模型模拟系统的燃烧过程,运用粒子群优化算法寻找系统的空燃比基准值,最后以烟气氧含量为控制目标,结合自适应模糊控制算法设计并实现了一套可用于锅炉燃烧系统的智能控制策略。现场应用表明:该智能控制策略控制效果良好,氧含量回路控制品质明显改善。Considering the low combustion efficiency of the combustion system in a gas power plant boiler,having the actual process started with to construct BP neural network nonlinear model so as to simulate combustion process of the system was implemented,including having particle swarm optimization algorithm used to find the system’s air-fuel ratio reference value,and having the flue gas oxygen content taken as the control target and having adaptive fuzzy control algorithm combined to design a set of intelligent control strategies that can be realized and applied to the boiler combustion system.Field application showed that,the intelligent control strategy has a good control effect,and the control quality of the oxygen content circuits has been significantly improved.

关 键 词：模糊控制 神经网络 锅炉燃烧控制系统 粒子群优化算法 空燃比 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]