基于遗传算法的带附加气室空气悬架多目标优化.docx

基于遗传算法的带附加气室空气悬架多目标优化
摘要
本文基于遗传算法设计了一种带附加气室的空气悬架多目标优化方法。具体地，本文首先介绍了空气悬架的基本功能和特点，以及现有研究中较为主流的单目标优化方法。随后，本文提出了一种新的多目标优化模型，其主要利用遗传算法对悬架系统进行优化，并且考虑到了气室结构对悬架性能的影响。通过实验结果的分析，本文证明了所提出的多目标优化方法在降低车身悬架震动、提高车身平稳性以及增加悬架系统的稳定性等方面具有非常好的效果。
关键词：空气悬架，多目标优化，遗传算法，气室结构，悬架性能优化
Abstract
Thispaperpresentsamulti-objectiveoptimizationmethodforairsuspensionswithadditionalairchambersbasedongeneticalgorithm.Specifically,thispaperfirstintroducesthebasicfunctionsandcharacteristicsofairsuspensions,aswellasthemainstreamsingle-objectiveoptimizationmethodsintheexistingresearch.Then,thispaperproposesanewmulti-objectiveoptimizationmodelusinggeneticalgorithmtooptimizethesuspensionsystem,takingintoaccounttheimpactofchamberstructureonsuspensionperformance.Throughtheanalysisofexperimentalresults,thispaperprovesthattheproposedmulti-objectiveoptimizationmethodhasverygoodeffectinreducingbodysuspensionvibration,improvingbodystabilityandincreasingthestabilityofsuspensionsystem.
Keywords:airsuspension,multi-objectiveoptimization,geneticalgorithm,chamberstructure,suspensionperformanceoptimization
1.Introduction
Airsuspensionisaspecialsuspensionsystemthatusesairastheworkingmedium.Ithasthecharacteristicsoffastresponse,goodstabilityandcomfort,andcanmeettherequirementsofdifferentdrivingconditions.Withthecontinuousimprovementofvehiclecomfortandsafetyrequirements,airsuspensionhasbecomeanimportantresearchtopicintheautomobileindustry.
Atpresent,theoptimizationofairsuspensionsystemmainlyfocusesonsingle-objectiveoptimization,suchasreducingvibration,improvingridecomfort,reducingenergyconsumptionandincreasingstability.However,theseoptimizationobjectivesareoftenconflictingwitheachother,makingitdifficulttoachieveoptimalresultsbysingle-objectiveoptimization.Therefore,multi-objectiveoptimizationisaneffectivemethodtosolvethisproblem.
Inthispaper,anewmulti-objectiveoptimizationmethodbasedongeneticalgorithmisproposedforairsuspensionswithadditionalairchambers.Thismethodtakesintoaccountthestructuralcharacteristicsofairchambers,andc