期刊文献+

基于多策略改进布谷鸟算法的裂解釜温度控制

Temperature Control over the Cracking Kettle Based on Multi-strategy Improved Cuckoo Algorithm
在线阅读 下载PDF
导出
摘要 传统PID控制在应对裂解釜复杂非线性和时变特性时,存在控制精度和鲁棒性不足的问题。因此,提出基于混沌映射、自适应步长的莱维飞行及柯西变异等多策略改进布谷鸟算法的温度控制算法。与传统PID控制和标准布谷鸟搜索算法优化的PID控制相比,基于改进布谷鸟搜索算法优化的PID控制的温度跟踪精度、响应速度及超调量等均有显著提高,具有更好的控制效果和鲁棒性。 Traditional PID control has insufficient control accuracy and robustness while dealing with both complex nonlinear and time-varying characteristics of cracking kettles.To address this issue and based on chaotic mapping,Levy flight with adaptive step size and Cauchy mutation,a improve cuckoo algorithm-supported temperature control method was proposed.Compared with traditional PID control,and the PID control optimized by standard cuckoo search algorithm,the improved cuckoo search algorithm-based PID control can significantly improve temperature tracking accuracy,response speed and overshoot together with better control effect and robustness.
作者 赵伟策 张军 ZHAO Wei-ce;ZHANG Jun(College of Automation Engineering,Shanghai University of Electric Power)
出处 《化工自动化及仪表》 2025年第5期698-703,共6页 Control and Instruments in Chemical Industry
关键词 改进布谷鸟搜索算法+PID 裂解釜 温度 混沌映射 自适应步长的莱维飞行 柯西变异 improved cuckoo search algorithm+PID cracking kettle temperature chaotic mapping Levy flight with adaptive step size Cauchy mutation
  • 相关文献

参考文献5

二级参考文献39

共引文献53

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部