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通过混合恒星振荡优化器和基于差异演变的PID-F控制,通过非线性CSTR的高性能温度调节

Serdar Ekinci¹, Cebrail Turkeri², Islam Gokalp³

¹Department of Computer Engineering, Bitlis Eren University, Bitlis, 13100, Turkey.

Scientific reports

|February 7, 2026

概括

一个新的混合恒星振荡优化器与差异演变 (hSOO-DE) 有效地调整 PID 控制器在 CSTR 中进行非线性温度调节. 这种先进的方法优于现有的优化器,提高了控制精度和系统性能.

科学领域:

化学工程是化学工程的重要组成部分.
控制系统控制系统
计算智能是一种计算智能.

背景情况:

连续动反应堆 (CSTR) 的非线性温度调节带来了重大的控制挑战.
带有衍生过 (PID-F) 的比例整合衍生 (PID) 控制器被广泛使用,但需要精确的调以获得最佳性能.
现有的元启发优化器和经典调方法经常与非线性CSTR系统的复杂动态作斗争.

研究的目的:

为高性能PID-F控制器调整引入一种新的混合恒星振荡优化器与差异演变 (hSOO-DE).
提高非线性CSTR温度调节中的过渡和稳定状态控制质量.
评估拟议的hSOO-DE算法的有效性和稳定性与各种最先进的方法相比.

主要方法:

通过整合全球勘探 (SOO) 和本地开发 (DE) 来开发具有差异演变 (hSOO-DE) 的混合恒星振荡优化器.
将hSOO-DE应用于PID-F控制器参数优化的基准非线性CSTR模型.
使用统计方法 (盒图,曼-惠特尼U测试) 对SOO,BPBO,CMA-ES,DE,Ziegler-Nichols,Tyreus-Luyben和Simulink Tuner进行比较分析.
优化目标侧重于最大限度地减少超标和积分绝对误差.

主要成果:

与所有测试的优化器相比,hSOO-DE实现了最低的平均目标值,差异最小.
证明了优越的短暂性能,包括减少升和沉降时间和最小的超越.
与传统调方法相比,验证了稳定状态精度的提高和整体控制的稳定性.
统计分析证实了hSOO-DE的显著优势.

结论:

混合hSOO-DE算法为非线性化学反应堆系统中的PID-F控制器调整提供了强大的和高效的框架.
在恒星振荡优化器结构中嵌入差异进化增强了复杂控制问题的搜索能力.
拟议的方法为CSTR实现高性能温度调节提供了显著的进步.

关键词:

在CSTR的过程中,CSTR的过程.不同进化的差异进化.杂交方式的混合化.变种和交叉运营商的变种和交叉运营商.在PID-F控制器控制器.反应堆温度调节反应堆温度调节恒星振荡优化器恒星振荡优化器

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