摘要
针对大型火电机组仿真装置中的锅炉蒸发系统，采用神经元网络给出了动态数学模型的建模方法．根据某一２００ＭＷ火电机组实测数据．完成了该锅炉蒸发系统的建模工作。仿真结果证明了该方法的有效性．
An evaporation system of boiler is treated as a neural network of several layers. On the basis of the principle of Artificial Neural Network(ANN),a model for the evaporation system of boiler is set up. In this model,Φ(x)is given a clear and definite physical meaning according to the conditions of the actual system.The application of ANN to modeling for the evaporation system of boiler in a power plant(200MW)shows that simulation results agree with real results very well not only under normal conditions,but also under start-up and outage or breakdown and conditions with large-change load.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
1996年第6期116-119,共4页
Journal of Harbin Institute of Technology
关键词
神经网络
建模
锅炉
Neural network
modeling
boiler
