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作 者:李友宝 巴鹏[1] 张秀珩[1] LI Youbao;BA Peng;ZHANG Xiuheng(School of Mechanical Engineering,Shenyang Ligong University,Liaoning Shenyang 110159,China)
机构地区:[1]沈阳理工大学机械工程学院,辽宁沈阳110159
出 处:《铁合金》2024年第4期9-12,17,共5页Ferro-alloys
基 金:国家自然科学基金资助项目(项目名称:直流埋弧熔炼硅锰合金反应畸变与介尺度调控机制研究,项目批准号:51934002)。
摘 要:矿热炉的电极控制精度对炉内锰硅合金的冶炼效率有很大影响,传统的PID控制精度低、超调量高,模糊PID虽然解决了部分问题,提高了控制的精度,但仍达不到所需的控制要求。针对以上问题,本文提出了基于粒子群优化模糊PID的控制方式,利用粒子群算法快速整定模糊PID参数的方法,以解决传统PID和模糊PID存在的控制问题,并且在Matlab中进行仿真验证。结果表明:基于粒子群优化的模糊PID控制相比于传统PID控制和模糊PID控制超调量分别降低了9.1%、5.66%,且几乎零超调;过渡时间分别减少了21.4%、12%。由此可以得出粒子群优化模糊PID控制具有响应时间短,几乎零超调,稳定性高的优点。同时控制精度的提高,也意味着精准调节电极位置使炉内更多时刻处于最佳反应状态,减少因不当操作导致的炉内反应效率降低,对提高矿热炉的反应效率也有着良好的影响。The accuracy of the electrode control of the submerged arc furnace has a great impact on the efficiency of ferromanganese-silicon smelting in the furnace.The traditional PID control has low accuracy and high overshoot.Although fuzzy PID solves some problems and improves the control accuracy,it still cannot meet the required control requirements.In response to the above problems,this paper proposes a fuzzy PID control method based on particle swarm optimization,and uses the particle swarm algorithm to quickly adjust fuzzy PID parameters to solve the control problems existing in traditional PID and fuzzy PID.And simulation verification was carried out in Matlab.The results show that:compared with traditional PID control and fuzzy PID control,the fuzzy PID control has reduced overshoot by 9.1%and 5.66%respectively,and has almost zero overshoot;the transition time is respectively reduced by 21.4%,12%.It can be concluded that particle swarm optimization fuzzy PID control has the advantages of short response time,almost zero overshoot,and high stability.At the same time,the improvement of control accuracy also means that the electrode position can be accurately adjusted to keep the furnace in the best reaction state more often,reducing the decrease in reaction efficiency in the furnace caused by improper operation,and also having a good impact on improving the reaction efficiency of the submerged arc furnace.
分 类 号:TF333[冶金工程—冶金机械及自动化] TF642.3.3
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