烟气-熔盐储热系统动态建模与非线性预测控制

朱晨; 张光明; 朱珂言; 王庆华; 徐进良; 牛玉广; 刘吉臻

doi:10.19805/j.cnki.jcspe.2025.250359

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烟气-熔盐储热系统动态建模与非线性预测控制

更新时间：2026-10-10

- 烟气-熔盐储热系统动态建模与非线性预测控制
- Dynamic Modeling and Nonlinear Predictive Control of Flue Gas-Molten Salt Thermal Storage System
- 动力工程学报 2025年45卷第12期页码：2079-2089
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院,北京,102206
  2. 北京怀柔实验室,北京,101400
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目(52506013);煤炭重大专项资助项目(2024ZD1700304)
- DOI：10.19805/j.cnki.jcspe.2025.250359
  中图分类号：
- 网络首发：2025-12-16，
  
  纸质出版：2025-12-16
- 稿件说明：
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朱晨,张光明,朱珂言,王庆华,徐进良,牛玉广,刘吉臻. 烟气-熔盐储热系统动态建模与非线性预测控制动力工程学报, 2025, 45(12): 2079-2089 https://doi.

org/10.19805/j.cnki.jcspe.2025.250359
朱晨,张光明,朱珂言,王庆华,徐进良,牛玉广,刘吉臻. 烟气-熔盐储热系统动态建模与非线性预测控制动力工程学报, 2025, 45(12): 2079-2089 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250359.

org/10.19805/j.cnki.jcspe.2025.250359 DOI：

摘要

旨在开发一种非线性模型预测控制(nonlinear model predictive control

NMPC)系统

以解决烟气-熔盐储热过程中存在的热惯性大、参数波动显著和多变量强耦合等控制难题。首先

建立了面向控制系统设计的烟气-熔盐储热系统动态非线性模型

并且分析了系统的动态响应特性。其次

提出了包含扩展卡尔曼滤波器(extended Kalman filter

EKF)环节的NMPC和前馈相结合控制框架(简称NMPC&前馈方案)。其中

NMPC负责实现多回路协同控制

前馈补偿扰动对系统关键参数的影响

EKF提高状态估计精度。仿真结果表明:在跟踪设定值能力方面

NMPC&前馈方案中出口烟气温度的平均绝对误差较PID和PID&前馈方案分别降低96.5%、89.4%

均方根误差分别降低89.8%、67.8%

所提出的方案可以提升系统的快速性和稳定性。鲁棒性方面

在入口烟气温度扰动下

NMPC&前馈方案中出口熔盐温度最大动态偏差较PID和PID&前馈方案分别降低79.1%、86.5%。

Abstract

A nonlinear model predictive control (NMPC) system was developed to address following challenging control issues in the flue gas-molten salt heat storage process

including significant thermal inertia

significant fluctuations in key parameters

and strong multivariable coupling. Firstly

a dynamic nonlinear model of the flue gas-molten salt heat storage system was established for control-oriented design

and dynamic response characteristics of the system were analyzed. Secondly

a combined scheme (named as NMPC& feedforward scheme) of NMPC-feedforward control framework incorporating an extended Kalman filter (EKF) was proposed. Within this framework

the NMPC is responsible for achieving multi-loop coordinated control

the feedforward compensates for the impact of disturbances on key parameters in the system

and EKF is employed to improve the accuracy of state estimation. Simulation results demonstrate that

in terms of the ability of tracking the set value based on NMPC& feedforward scheme

compared with PID and PID& feedforward schemes

the mean absolute error of outlet flue gas temperature can be reduced by 96.5% and 89.4%

respectively

while the root mean square error can be reduced by 89.8% and 67.8%

respectively. The responsiveness and stability of system can be enhanced by the proposed scheme. In terms of robustness

under the disturbance of inlet flue gas temperature

compared with PID and PID& feedforward schemes

the maximum dynamic deviation of outlet molten salt temperature based on NMPC& feedforward scheme can be reduced by 79.1% and 86.5%

respectively.

关键词

Keywords

references

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