Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system

WANG Lin; HOU Yuting; XUE Jianzhong; CUI Li; GAO Haidong; GAO Lin

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Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system

更新时间：2025-09-28

- Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system
- Thermal Power Generation Issue 5, (2016)
- 作者机构：
  
  西安热工研究院有限公司,陕西,西安,710032
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911
- Published Online：15 June 2016，
  
  Published：2016
- 稿件说明：
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WANG Lin, HOU Yuting, XUE Jianzhong, et al. Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system[J]. Thermal power generation, 2016, (5).
DOI：

WANG Lin, HOU Yuting, XUE Jianzhong, et al. Self-adaptive variable-step size LMS filtering algorithm for major parameters of SCR flue gas denitration system[J]. Thermal power generation, 2016, (5). DOI：

摘要

为提高选择性催化还原法(SCR)烟气脱硝系统在线数据辨识的信噪比

本文利用不同的变步长自适应滤波方法

在不同截止频率下

采用最具有代表性的3种变步长最小均方滤波方法对现场SCR烟气脱硝系统的入口NOx质量浓度、出口NOx质量浓度和喷氨流量进行数据滤波，对比了滤波数据和原始数据，并对3种方法进行了验证。结果表明:3种方法中尽管自相关矩阵变步长方式迭代时间较长

但稳定性非常好；在截止频率为0.9时

滤波数据能取得最好的综合效果。

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