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

Thermal Power Generation Issue 5, (2016)

更新时间：2025-09-28

- Predictive control of flue gas denitration system based on subspace identification and augmented model
- 作者机构：
  
  西安交通大学电子与信息工程学院,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK323
- Published Online：15 June 2016，
  
  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, (5).
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, (5). 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。

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Related Institution

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