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

doi:10.19666/j.rlfd.2000.02.011

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

更新时间：2025-09-28

- ARMA MULTI-PARAMETER IDENTIFICATION MODEL OF POWER PLANT THERMODYNAMIC PROCESS AND ITS APPLICATION
- Thermal Power Generation Issue 2, Pages: 37-39(2000)
- 作者机构：
  
  西安交通大学,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2000.02.011
  CLC： TK12
- Published：2000
- 稿件说明：
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ARMA MULTI-PARAMETER IDENTIFICATION MODEL OF POWER PLANT THERMODYNAMIC PROCESS AND ITS APPLICATION[J]. Thermal power generation, 2000, (2): 37-39.
DOI：

ARMA MULTI-PARAMETER IDENTIFICATION MODEL OF POWER PLANT THERMODYNAMIC PROCESS AND ITS APPLICATION[J]. Thermal power generation, 2000, (2): 37-39. DOI： 10.19666/j.rlfd.2000.02.011.

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。

Abstract

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.

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Related Institution

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