电厂热工过程ARMA多参数辨识模型及应用  

ARMA MULTI-PARAMETER IDENTIFICATION MODEL OF POWER PLANT THERMODYNAMIC PROCESS AND ITS APPLICATION

作　　者：胡勇[1] 巨林仓[1] 范伊波[1] 

机构地区：[1]西安交通大学,西安710049

出　　处：《热力发电》2000年第2期37-39,共3页Thermal Power Generation

摘　　要：介绍用自回归滑动平均 (ARMA)模型形式表示复杂的电厂热工过程的方法 ,其采用了样本自协方差函数和自相关函数估计模型参数。这种方法可用于多输入多输出过程众多参数离线辨识 ,属灰色系统辨识方法的一种。此法对多输入的对象辨识准确可靠 ,稍加修改 ,即可用于在线辨识。This paper introduces an auto-regression and moving average model that can be used to present the complicated thermodynamic process of power plants.The parameters of this model can be evaluated by simple auto-covariance function and auto-correlation function.The method is one of the gray system identification mdthods and can be used in multi-parameter off-line identification of the multi-input/output process.The identification is very accurate and reliable and can be used for on-line idenfication in case some small modifications are made.

关 键 词：电厂 热工过程 ARMA 多参数辨识 

分 类 号：TM621.4[电气工程—电力系统及自动化]