基于等价输入干扰方法的再热汽温预测控制

陈刚; 华山; 倪向红; 杜友武; 孙立

doi:10.19805/j.cnki.jcspe.2025.230719

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基于等价输入干扰方法的再热汽温预测控制

数字化与智能化 | 更新时间：2026-01-21

- 基于等价输入干扰方法的再热汽温预测控制
- Predictive Control of Reheated-steam Temperature Using Equivalent Input Disturbance Approach
- 动力工程学报 2025年45卷第2期页码：275-281
- 作者机构：
  
  1. 国家能源集团科学技术研究院有限公司, 低碳智能燃煤发电与超净排放全国重点实验室,江苏,南京,210046
  2. 国能南京电力试验研究有限公司,江苏,南京,210046
  3. 江苏理工学院电气信息工程学院,江苏,常州,213001
  4. 东南大学能源与环境学院, 大型发电装备安全运行与智能测控国家工程研究中心,江苏,南京,210018
- 作者简介：
  
  [ "陈刚(1986—),男,江苏泰州人,高级工程师,硕士,研究方向为火电厂复杂自动控制系统优化" ]
- 基金信息：
  
  国家重点研发青年科学家项目(2022YFB4100500);江苏省自然科学基金资助项目(BK20221404);常州市自然科学基金资助项目(CJ20220068)
- DOI：10.19805/j.cnki.jcspe.2025.230719
  中图分类号： TM621;TP273
- 网络出版：2025-02-15，
  
  纸质出版：2025
- 稿件说明：
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陈刚,华山,倪向红,杜友武,孙立. 基于等价输入干扰方法的再热汽温预测控制动力工程学报, 2025, 45(2): 275-281 https://doi.

org/10.19805/j.cnki.jcspe.2025.230719
陈刚,华山,倪向红,杜友武,孙立. 基于等价输入干扰方法的再热汽温预测控制动力工程学报, 2025, 45(2): 275-281 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.230719.

org/10.19805/j.cnki.jcspe.2025.230719 DOI：

摘要

针对再热汽温控制系统存在大惯性、大时滞和易受扰的问题

提出一种基于等价输入干扰(Equivalent Input Disturbance

EID)估计与补偿的预测控制方法

以提高系统控制的精度。构建状态观测器和EID估计器

估计扰动在控制输入端的一个等价量。由于系统时滞产生相位差

导致无法利用扰动估计值进行实时补偿

根据泰勒级数原理

设计扰动预测器

计算扰动预测值

利用该预测值在输入端对扰动进行反向补偿。基于被控对象模型

提出一种新型状态预测方法

利用预测值设计反馈控制规律。基于分离原理将控制系统分解为扰动抑制和跟踪控制2个子系统

得出系统稳定性条件和参数设计步骤。仿真结果表明:所提方法可获得满意的控制精度和抗干扰性能。

Abstract

Aiming at the issues concerning large inertia

significant time delay

and susceptibility to disturbances of reheated-steam temperature

a predictive control scheme was proposed to improve its control performance based on the equivalent input disturbance (EID) approach. A state observer and an EID estimator were devised to estimate an equivalent signal of a disturbance on the control input channel. Due to the phase lag caused by the time delay

the estimate cannot be used for real-time compensation. A disturbance predictor was designed to produce a prediction of the disturbance based on Taylor series theory. As a result

the prediction instead of the estimate of a disturbance was employed for the compensation on the control input channel. A new predictive scheme was proposed to obtain future information on the system state based on the plant model. A state feedback control law was designed using the future state. The control system was divided into two subsystems including disturbance attenuation and tracking control

thereby obtaining the stability criteria and design procedure. Simulation results show that the proposal can achieve the satisfactory performance of control accuracy and anti-disturbance.

关键词

Keywords

references

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