水煤浆锅炉的神经网络参考模型自适应控制  

Neural network model reference adaptive control of coal-water mixture boiler

作　　者：李毅[1] 杨公训[1] 李林琛[1] 

机构地区：[1]中国矿业大学机电与信息工程学院,北京100083

出　　处：《洁净煤技术》2008年第2期53-55,89,共4页Clean Coal Technology

摘　　要：采用神经网络模型参考自适应控制方法对水煤浆锅炉的燃烧系统进行了有效控制。针对水煤浆锅炉的高度非线性、大惯性和多输入多输出的特点设计了一个神经网络辨识器(NNI)与神经网络控制器(NNC),并对训练步骤和算法进行了详述。仿真结果表明,对水煤浆锅炉的燃烧采用神经网络间接模型参考自适应控制是行之有效的。The coal-water mixture boiler is effectively controlled by Neural Network Model Reference Adaptive. Neural Network Identification and Neural Network Control have been designed for the characteristic of high nonlinearity, great inertia and multiple-input multiple-output of coal-water mixture boiler, at the same time the training step and algorithm also have been discussed in detail. Simulation result shows that it is effective to use Neural Network Model Reference Adaptive Control on combustion system of coal-water mixture boiler.

关 键 词：水煤浆锅炉 神经网络 参考模型 自适应控制 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]