Application of exponential prediction model and Smith predictive controller in SCR denitration system

SUN Yuhong; HOU Yuting; JIAO Ligang; LI Erkan

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Application of exponential prediction model and Smith predictive controller in SCR denitration system

更新时间：2025-09-28

- Application of exponential prediction model and Smith predictive controller in SCR denitration system
- Thermal Power Generation Vol. 45, Issue 12, Pages: 114-118(2016)
- 作者机构：
  
  1. 山东女子学院
  2. 西安热工研究院有限公司
  3. 华能丹东电厂
- 作者简介：
- 基金信息：
- DOI：
  CLC： X773;TP273
- Published：2016
- 稿件说明：
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SUN Yuhong, HOU Yuting, JIAO Ligang, et al. Application of exponential prediction model and Smith predictive controller in SCR denitration system[J]. Thermal power generation, 2016, 45(12): 114-118.
DOI：

SUN Yuhong, HOU Yuting, JIAO Ligang, et al. Application of exponential prediction model and Smith predictive controller in SCR denitration system[J]. Thermal power generation, 2016, 45(12): 114-118. DOI：

摘要

针对选择性催化还原(SCR)烟气脱硝系统喷氨量控制的大延迟特性使得常规PID控制难以取得较好控制效果的问题

本文采用非线性拟合法建立了SCR烟气脱硝入口NO_x质量浓度指数预测模型

以该指数模型预测值为前馈信号

设计了SCR烟气脱硝喷氨系统的改进型串级Smith预估控制器

并在DCS中实现组态优化控制。实际应用结果表明:新型指数预测串级Smith预估控制能有效预测SCR烟气脱硝入口NO_x质量浓度变化

补偿喷氨系统的迟延特性

改善喷氨系统的控制效果

节约脱硝系统喷氨量约15%~20%。

Abstract

The large delay during control of the spraying ammonia system of SCR denitration system leads to unsatisfactory automatic control effect.To solve this problem

the SCR inlet NO_xconcentration prediction model was established by adopting the nonlinear fitting method.Using the prediction value of this model as the feed forward signal

a modified cascade Smith control strategy was put forward and realized configuration optimization control in the DCS system.The actual operation results show that

this Smith strategy can predict the change of NO_xconcentration at the SCR denitration system inlet effectively

which overcomes the delay property of the system to some extent.The modified strategy improves the control effect and considerably deceases the quantity of the sprayed ammonia by about 15%to 20%.

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