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

Thermal Power Generation Issue 11, (2016)

更新时间：2025-09-28

- Application of exponential prediction model and Smith predictive controller in SCR denitration system
- 作者机构：
  
  1. 山东女子学院,山东,济南,250300
  2. 西安热工研究院有限公司,陕西,西安,710032
  3. 华能丹东电厂,辽宁,丹东,118300
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP272
- Published Online：24 November 2016，
  
  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, (11).
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, (11). 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NOx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NOx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％。

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