【摘要】 介绍了采用神经网络PID算法的锅炉燃烧优化控制系统。在现有的DCS控制系统的基础上,嵌入上述优化系统,既利用了原有DCS控制系统采集的锅炉参数,又利用先进的控制分析软件对数据进行优化处理,达到了燃烧控制优化的目的。实验过程中,对1台3.0×105kW的燃煤机组,在150MK,220MK,259MK和300MK等4个负荷点做了相关试验,涵盖了机组正常运行范围。实验结果表明,锅炉燃烧效率能提高1个百分点。更多还原

【Abstract】 The incorporation of a boiler combustion optimization control system based on the artificial neural networks PID into the existing DCS control system makes it possible to use the advanced software to optimize the boiler parameters collected using the existing PCS control system. Experiments were made with a 300 MKW coal-burning power generator at four load points of 150 MK, 220 MK, 259 MK and 300 MK covering the normal operating range. Experimental results show that the boiler combustion efficiency can be increased by 1 percent.更多还原