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

作　　者：赵宇翔 章家岩 周雪阳 张泽辰 ZHAO Yuxiang;ZHANG Jiayan;ZHOU Xueyang;ZHANG Zechen(School of Electrical and Information Engineering,Anhui University of Technology,Anhui Maanshan 243002,China;School of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin 132022,China)

机构地区：[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

出　　处：《重庆工商大学学报（自然科学版）》2024年第1期75-81,共7页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：安徽省自然科学基金(1908085ME134);安徽省高等自然科学研究重点项目(KJ2018A0060);安徽高校自然科学研究重大项目(KJ2021ZD0042).

摘　　要：针对热风炉燃烧控制存在的纯滞后、大惯性和强干扰等问题,提出了一种基于并行协作骨干粒子群(Parallel Cooperative Bare-Bones Particle Swarm Optimization,PCBBPSO)优化全局滑模控制(Global Sliding Mode Control,GSMC)的热风炉空燃比控制策略;为改善热风炉空燃比控制系统动态特性,引入全局滑模策略,对燃烧系统进行优化控制,以提高系统稳定性,同时,基于热风炉燃烧系统存在的强干扰特性,利用并行协作骨干粒子群对干扰补偿进行调节以减小其对系统的影响,并求取最优控制率;仿真结果表明:与普通粒子群优化全局滑模和普通粒子群优化PID相比,该控制方法达到稳定用时分别减少了26.4 s和9.3 s,能够保持没有超调量,拥有良好稳定的跟踪和抗干扰效果;将该控制策略应用于某钢铁有限公司2200 m 3高炉配套热风炉,工程数据表明:在该空燃比策略的控制下,热风炉空燃比上下波动幅度仅为8.20%,拥有波动小、稳定性好和抗干扰性强等特点,动态响应较好,能够满足热风炉工程实际应用的需要。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 2200 m 3 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 

分 类 号：TF391.9[冶金工程—冶金机械及自动化]