APPLICATION OF KRIGING ESTIMATION METHOD IN ESTABLISHING DYNAMIC MODEL FOR COMPLICATED THERMODYNAMIC OBJECTS

KONG Liang1; DING Yan-jun1; WU Hao2; ZHANG Yi1; ZHANG Xue1; WU Zhan-song11.Departement of Thermal Energy Engineering

doi:10.19666/j.rlfd.2009.01.008

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APPLICATION OF KRIGING ESTIMATION METHOD IN ESTABLISHING DYNAMIC MODEL FOR COMPLICATED THERMODYNAMIC OBJECTS

更新时间：2025-09-28

- APPLICATION OF KRIGING ESTIMATION METHOD IN ESTABLISHING DYNAMIC MODEL FOR COMPLICATED THERMODYNAMIC OBJECTS
- Thermal Power Generation Vol. 38, Issue 1, Pages: 31-34(2009)
- 作者机构：
  
  1. 清华大学热能工程系
  2. 清华大学计算机科学与技术系
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2009.01.008
  CLC： TK31
- Published：2009
- 稿件说明：
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KONG Liang1, DING Yan-jun1, WU Hao2, et al. APPLICATION OF KRIGING ESTIMATION METHOD IN ESTABLISHING DYNAMIC MODEL FOR COMPLICATED THERMODYNAMIC OBJECTS[J]. Thermal power generation, 2009, 38(1): 31-34.
DOI：

KONG Liang1, DING Yan-jun1, WU Hao2, et al. APPLICATION OF KRIGING ESTIMATION METHOD IN ESTABLISHING DYNAMIC MODEL FOR COMPLICATED THERMODYNAMIC OBJECTS[J]. Thermal power generation, 2009, 38(1): 31-34. DOI： 10.19666/j.rlfd.2009.01.008.

摘要

对于复杂多变的热工对象

难以建立较为准确的动态模型

这是影响动态控制品质的主要因素。对此

提出了运用空间统计学中的克里格估计方法来建立复杂多变的热工对象的自适应动态模型。该方法是一种基于样本数据的非参数回归建模方法

具有多维插值的形式

不需历史数据和模型训练

只需添加实时数据即可建立对象的自适应动态模型。通过对Mackey-Glass混沌时间序列的预测仿真和实际电站锅炉NOx排放的动态预测

表明了该方法在复杂热工对象动态建模中的有效性。

Abstract

For the complicated and variable thermodynamic objects

it is hard to establish comparatively accurate dynamic models

this is a main factor affecting the quality of dynamic control.For this

a Kriging estimation method used in the spacial statistics has been put forward to establish the adaptive dynamic model for complicated and variable thermodynamic objects.This method is a model-establishing method of non-parametric regression based on samples' data

boasting muti-dimentional interplating form

needing no historic data and training model.An adaptive dynamic model of the object can be established only by adding the real-tiem data.Through prediction and emulation of Mackey-Glass chaos time series and dynamic prediction of NOx emission from actual utility boilers

it has been proven that the said method has effectiveness in establishing dynamic model for the complicated thermodynamic objects.

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