Offset-free Model Predictive Control for SCR System Based on Dynamic Variable Gain Kalman Filter

CHEN Yanliang; LI Yiguo

doi:10.19805/j.cnki.jcspe.2026.240687

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Offset-free Model Predictive Control for SCR System Based on Dynamic Variable Gain Kalman Filter

更新时间：2026-10-10

- Offset-free Model Predictive Control for SCR System Based on Dynamic Variable Gain Kalman Filter
- Chinese Journal of Power Engineering Vol. 46, Issue 1, Pages: 131-137(2026)
- 作者机构：
  
  东南大学能源与环境学院,江苏,南京,210096
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2026.240687
  CLC：
- Online First：15 January 2026，
  
  Published：15 January 2026
- 稿件说明：
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陈彦良,李益国. 基于动态变增益卡尔曼滤波的SCR无偏模型预测控制动力工程学报, 2026, 46(1): 131-137 https://doi.

org/10.19805/j.cnki.jcspe.2026.240687
陈彦良,李益国. 基于动态变增益卡尔曼滤波的SCR无偏模型预测控制动力工程学报, 2026, 46(1): 131-137 https://doi. DOI： 10.19805/j.cnki.jcspe.2026.240687.

org/10.19805/j.cnki.jcspe.2026.240687 DOI：

摘要

为了提高选择性催化还原(SCR)脱硝系统抑制扰动的能力

基于Fal函数提出了一种可以根据新息动态调节卡尔曼滤波器(fKF)增益的方法

然后基于fKF设计了无偏模型预测控制器(fKF-MPC)

并证明fKF-MPC在稳态下可以实现对设定值的无偏跟踪。仿真结果表明:针对SCR这类大惯性系统

fKF-MPC能够更快速而准确地估计扰动

使控制动作更及时

特别是面对快速和随机变化的扰动时

在标称模型以及模型失配的情况下

最大绝对误差(

max

)、平均绝对误差(

)和抑制扰动所需的时间(

)均明显减小

验证了所提方法在抑制扰动方面的优越性。

Abstract

To enhance the disturbance rejection capability of the selective catalytic reduction (SCR) denitrification system

a method for dynamically adjusting the Kalman filter (fKF) gain with a Fal function according to new information was proposed. Then

a offset-free model predictive controller (fKF-MPC) was designed based on the fKF

and it was proven that the fKF-MPC can achieve offset-free tracking of the setpoint at steady state. Simulation results demonstrate that for large-inertia systems like SCR

the fKF-MPC can estimate disturbances more rapidly and accurately

leading to more timely control actions. Particularly when facing fast and randomly varying disturbances

under both nominal model and model mismatch conditions

the maximum absolute error (

max

)

mean absolute error (

)

and the time required for disturbance rejection (

) are all significantly reduced. This validates the superiority of the proposed method in terms of disturbance rejection.

关键词

Keywords

references

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