多策略改进的红尾鹰优化算法在LLC上的应用

打开文本图片集

中图分类号：TP273；TP18 文献标识码：A 文章编号：2096-4706（2025）20-0092-08

Abstract：Toaddresstheisses ofslowconvergencespeed，lowsolutionaccuracyand susceptibility tolocalotima in theRTH when solving complex optimization problems，this paper proposes anew multi-strategy IRTH.Inthe population initializationphase，acentroidopposition-basedlearingstategyisadoptedtoimprove thequalityofinitialsolutions，ndnth predationphase，aspiralsearch strategyandanimprovedcrosoverstrategyareintroducedtoenhanceglobalsearchcapability andavoid premature convergence. Comparative experiments on nine standard benchmark functions show that IRTH algorithm outperforms theoriginalRTHalgorithminbothconvergence speedandsolutionaccuracy.Furthermore，IRTHisinovatively apliedtoPIDparameter tuning forvoltage closed-loopcontrolofLLCconverters.Experimental results demonstrate thatits optimizedresponsecurveissuperiortotraditionalengineering tuning methodsandRTH-optimizedcurves intermsof steadystateperfomance，dynamicresponse speed，andovershoot.This fullyverifes theengineeringapplicabilityofthe IHcontrol strategy in power electronic power conversion systems and confirms its engineering application value.

Keywords：Red-Tailed Hawk Optimization Algorithm; multi-strategyimprovement; global searchcapability; closed-loop control; PID parameter tuning

0 引言

红尾鹰优化算法（RTH）[是元启发式优化算法的一种，通过模拟红尾鹰在捕猎过程中的盘旋侦察、高速俯冲和群体协作行为，实现对复杂优化问题的全局搜索与局部开发。（剩余8298字）