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热风炉空燃比并行协作粒子群滑模控制策略

赵宇翔 章家岩 周雪阳 张泽辰

重庆工商大学学报(自然科学版)2024,Vol.41Issue(1):75-81,7.
重庆工商大学学报(自然科学版)2024,Vol.41Issue(1):75-81,7.DOI:10.16055/j.issn.1672-058X.2024.0001.010

热风炉空燃比并行协作粒子群滑模控制策略

Parallel Cooperative Particle Swarm Sliding Mode Control Strategy for Air-fuel Ratio of Hot Blast Stove

赵宇翔 1章家岩 1周雪阳 2张泽辰1

作者信息

  • 1. 安徽工业大学电气与信息工程学院,安徽马鞍山 243002
  • 2. 吉林化工学院信息与控制工程学院,吉林 132022
  • 折叠

摘要

Abstract

Aiming at the problems of pure lag,large inertia and strong interference in the combustion control of hot blast stoves,an air-fuel ratio control strategy of hot blast stoves based on parallel cooperative bare-bones particle swarm optimization(PCBBPSO)for global sliding mode control(GSMC)was proposed.In order to improve the dynamic characteristics of the air-fuel ratio control system of hot blast stoves,the global sliding mode strategy was introduced to optimize the control of the combustion system to improve the system stability.At the same time,based on the strong interference characteristics of the hot blast stove combustion system,the PCBBPSO was used to adjust the interference compensation to reduce its influence on the system,and the optimal control rate was obtained.The simulation results showed that compared with PSO global sliding mode and PSO PID,this control method can reduce the time of stabilization by 26.4 s and 9.3 s respectively,can maintain no overshoot,and has good tracking and anti-interference effect.The control strategy was applied to a hot blast stove supporting a 2 200 m3 blast furnace at a steel company.Engineering data showed that under the control of this air-fuel ratio strategy,the fluctuation range of the air-fuel ratio of the hot blast stove was only 8.20%.This strategy has the characteristics of small fluctuation,good stability and strong anti-interference,and has a good dynamic response,which can meet the needs of the practical application of hot blast stove engineering.

关键词

PCBBPSO算法/GSMC算法/热风炉/空燃比控制

Key words

PCBBPSO algorithm/GSMC algorithm/hot blast stove/air-fuel ratio control

分类

矿业与冶金

引用本文复制引用

赵宇翔,章家岩,周雪阳,张泽辰..热风炉空燃比并行协作粒子群滑模控制策略[J].重庆工商大学学报(自然科学版),2024,41(1):75-81,7.

基金项目

安徽省自然科学基金(1908085ME134) (1908085ME134)

安徽省高等自然科学研究重点项目(KJ2018A0060) (KJ2018A0060)

安徽高校自然科学研究重大项目(KJ2021ZD0042). (KJ2021ZD0042)

重庆工商大学学报(自然科学版)

1672-058X

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