空气预热器供风系统的模型辨识与稳态优化控制

MODEL IDENTIFICATION AND STEADY\|STATE OPTIMIZING CONTROL OF WIND SYSTEM FOR AIR PREHEATER

利用多层前向神经网络，对电站锅炉回转式空气预热器供风系统在不同输入作用时的系统稳态模型进行了辨识．比较了风温、风压对系统的影响．提出了基于神经网络的供风系统模型，并以此模型为基础提出了稳态优化算法，实现了回转式空气预热器供风系统的稳态优化控制，经济效益显著．

This paper uses a multi\|layer forward neural network to identify the steady\|state model of air preheater of different inputs.The effects of the wind temperature and wind pressure on the system model are compared,and then the neural network wind system model is given.Based on this model,an on\|line automatical model learning method and steady\|state optimizing algorithm are proposed for the wind system of air preheater.