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.
出处
《热力发电》
CAS
北大核心
2000年第2期37-39,共3页
Thermal Power Generation
