【作者】 欧丽君；

【导师】 张栾英；

【作者基本信息】 华北电力大学（河北） ， 控制理论与控制工程， 2010， 硕士

【摘要】 超临界锅炉是国家未来的发展方向,给水系统是其中的重要环节。超临界机组采用直流锅炉,从给水泵到汽机,汽水直接关联,使得锅炉各参数间和汽机与锅炉间具有强烈的耦合特性,加大了给水控制难度。在火电厂热工过程控制系统的分析设计中,普遍采用基于模型的控制方法,给水控制也不例外。本文以国电铜陵600MW超临界机组直流锅炉为例,通过对现场数据的分析和预处理,采用自适应遗传辨识方法建立100%及70%工况下的锅炉动态模型。针对多变量控制,提出了一种神经网络解耦控制方法,对建好的模型进行解耦,并用于中间点焓值修正煤水比的给水控制系统中。通过仿真可以看出该控制系统能有效克服扰动,保证中间点焓值,实现过热气温粗调。更多还原

【Abstract】 Supercritical boilers will be the country’s future development direction and water supply system is one of the important parts. Ultra-supercritical plants using once-through boiler, from the feed water pump to the steam machine, steam and water being directly related to each other, making each parameter between the boiler and steam turbine and boiler with strong coupling characteristics increase the difficulty of feedwater control. In the analysis and design of thermal power plant’s thermal process control system, model-based control method is widely used. This article taking the State Power Tongling 600MW supercritical once-through boiler for example, through on-site data analysis and pre-processing, dynamic model of the 100% and 70% boiler operating conditions is established using adaptive genetic identification method. According to multi-variable control, the article proposes a neural network decoupling control method that is used to decouple the built model, and is apllyed to the mid-point enthalpy correction coal-water ratio of the feedwater control system.Through the simulation, we can see that the control system can overcome disturbances to ensure the mid-point enthalpy value, to achieve an coarse regulation of the overheated temperature.更多还原