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 Vol. 45, Issue 6, Pages: 88-93(2016)
- 作者机构：
  
  西安热工研究院有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： X773
- 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, 45(6): 88-93.
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, 45(6): 88-93. 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。

Abstract

To improve the signal-noise ratio of online data identification for SCR flue gas denitration system

this paper applies three representative variable-step least square flitting methods to carry out data filtering for NOxconcentration at inlet and out let of the SCR system and the ammonia spraying amount

on the basis of variable-step self-adaptive filtering method

with different cut-off frequencies.The comparison between the filtering data and the original data shows that

although it costs longer iteration time

the variable-step size method based on a mutual correlation matrix possesses the best stability.Moreover

a slight up-drift occurs to the filtering data under a cut-off frequency of 0.9.At this frequency

the flitting data can also achieve the best general result.

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