Predictive control of flue gas denitration system based on subspace identification and augmented model

WANG Yong; XU Dongchao; LIN Tao; WANG Peng

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Predictive control of flue gas denitration system based on subspace identification and augmented model

更新时间：2025-09-28

- Predictive control of flue gas denitration system based on subspace identification and augmented model
- Thermal Power Generation Vol. 45, Issue 6, Pages: 26-32(2016)
- 作者机构：
  
  西安交通大学电子与信息工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： X773
- Published：2016
- 稿件说明：
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WANG Yong, XU Dongchao, LIN Tao, et al. Predictive control of flue gas denitration system based on subspace identification and augmented model[J]. Thermal power generation, 2016, 45(6): 26-32.
DOI：

WANG Yong, XU Dongchao, LIN Tao, et al. Predictive control of flue gas denitration system based on subspace identification and augmented model[J]. Thermal power generation, 2016, 45(6): 26-32. DOI：

摘要

选择性催化还原(SCR)烟气脱硝系统具有大惯性、大延迟的特点

常用的PID控制器不能很好地适用于该系统。结合某火电机组实际运行数据

建立了基于子空间方法的SCR烟气脱硝系统模型

并将模型计算结果与实测数据进行对比

验证了模型具有较强的鲁棒性。将子空间辨识所得脱硝系统状态空间模型进行变换

得到其增广模型

设计了基于增广模型的预测控制器

并将该控制器仿真结果与系统原有PID控制器输出结果及实际运行数据进行了对比。结果表明

与系统原有PID控制器相比

本文设计的预测控制器能够很好地跟踪脱硝系统期望

具有更好的控制效果。

Abstract

Selective catalytic reduction(SCR)flue gas denitration system has characteristics of large inertia and large delay

the conventional PID controller is not well suited for the system.To solve this problem

combing with the actual operation data of a thermal power unit

a model for SCR flue gas denitrification system based on subspace method was established.Comparison between the calculated results and the measured data verified this model has strong robustness.Moreover

the state space model of the denitration system identified by the subspace identification was transformed

and the augmented model was obtained.Then

the predictive controller based on the augmented model was designed

and the results simulated by the predictive controller were compared with that by the conventional PID controller were compared.The results show this predictive controller can track the denitration system expectations well

and has better control effect.

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