| 引用本文: | 赵宇翔1
, 章家岩1
,周雪阳2
,张泽辰1.热风炉空燃比并行协作粒子群滑模控制策略(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2024，41（1）：75-81 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
|
| 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 2 200 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。 |
| 关键词: PCBBPSO 算法 GSMC 算法 热风炉 空燃比控制 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Parallel Cooperative Particle Swarm Sliding Mode Control Strategy for Air-fuel Ratio of Hot Blast Stove |
|
ZHAO Yuxiang1,ZHANG Jiayan1,ZHOU Xueyang2,ZHANG Zechen1
|
|
1. School of Electrical and Information Engineering Anhui University of Technology Anhui Maanshan 243002 China
2. School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin 132022 China
|
| 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 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. |
| Key words: PCBBPSO algorithm GSMC algorithm hot blast stove air-fuel ratio control |
