基于模糊智能预测控制的直流炉过热汽温优化控制

张明琦; 李军; 高林; 周俊波; 高耀岿; 王文毓; 王大伟; 王立成

doi:10.19805/j.cnki.jcspe.2025.250374

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基于模糊智能预测控制的直流炉过热汽温优化控制

更新时间：2026-10-10

- 基于模糊智能预测控制的直流炉过热汽温优化控制
- Optimized Control of Superheated Steam Temperature of Once-through Boilers Based on Fuzzy Intelligent Predictive Control
- 动力工程学报 2025年45卷第12期页码：2017-2025
- 作者机构：
  
  1. 西安热工研究院有限公司,陕西,西安,710054
  2. 高效灵活煤电及碳捕集利用封存全国重点实验室,陕西,西安,710000
  3. 陕西延长石油富县发电有限公司,陕西,延安,727599
- 作者简介：
  
  张明琦(2001—),男,陕西西安人,工学硕士,主要从事智能发电控制技术等方面的研究,E-mail:1196137309@qq.com
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250374
  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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张明琦,李军,高林,周俊波,高耀岿,王文毓,王大伟,王立成. 基于模糊智能预测控制的直流炉过热汽温优化控制动力工程学报, 2025, 45(12): 2017-2025 https://doi.

org/10.19805/j.cnki.jcspe.2025.250374
张明琦,李军,高林,周俊波,高耀岿,王文毓,王大伟,王立成. 基于模糊智能预测控制的直流炉过热汽温优化控制动力工程学报, 2025, 45(12): 2017-2025 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250374.

org/10.19805/j.cnki.jcspe.2025.250374 DOI：

摘要

提出基于模糊智能预测控制的直流炉过热汽温优化控制方案

在模糊集理论和预测控制算法的基础上

结合专家系统对控制决策进行优化调整

并设计控制信号滤波与无扰切换功能

提出模糊智能预测控制算法。结果表明:在外部扰动、环境噪音与模型参数摄动等干扰下

智能预测控制算法对机组过热汽温的控制效果良好;智能预测控制算法可以满足直流炉过热汽温系统大惯性、大迟延、多扰动的控制需求。

Abstract

Based on fuzzy intelligent predictive control

a control scheme for optimizing superheated steam temperature of DC boiler was proposed. The scheme was based on fuzzy set theory and predictive control algorithm

combined with the expert system for optimizing the control decisions. The control signal filtering and non-disruptive switching functions were designed

and a fuzzy intelligent predictive control algorithm was proposed. Results show that under such disturbances as external disturbances

environmental noise and model parameter perturbations

the intelligent predictive control algorithm performs well in controlling the superheated steam temperature of the unit. The intelligent predictive control algorithm can meet the control requirements of the DC boiler superheated steam temperature system with large inertia

large delay and multiple disturbances.

关键词

Keywords

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