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基于粒子群算法的最优照度均匀度LED阵列设计.docx

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基于粒子群算法的最优照度均匀度LED阵列设计 Abstract Inrecentyears,LEDtechnologyhasrapidlydevelopedandbecomeincreasinglyimportantinvariouslightingapplications.LEDarraydesignhasbecomeanimportantresearchtopic.ThispaperproposesanLEDarraydesignmethodbasedonparticleswarmoptimizationalgorithmtoachieveoptimalilluminationuniformity.Theproposedmethodcanbedividedintotwostages.ThefirststageistodeterminetheoptimalnumberofLEDsandtheirpositions.ThesecondstageistooptimizethecurrentofeachLEDtoachievethebestilluminationuniformity.ExperimentalresultsshowthattheproposedmethodcaneffectivelyimproveilluminationuniformitycomparedwithtraditionalLEDarraydesign. Keywords:LEDarraydesign,particleswarmoptimizationalgorithm,illuminationuniformity. Introduction LEDtechnologyhasbeenwidelyusedinvariouslightingapplicationsduetoitshighefficiency,longlife,andlowpowerconsumptioncharacteristics.Inmanylightingapplications,suchasstreetlighting,stadiums,andoffices,uniformilluminationisrequiredtoprovideacomfortablelightingenvironment.Therefore,designinganLEDarraywithhighilluminationuniformityisachallengingresearchtopic. IntraditionalLEDarraydesign,thenumber,position,andcurrentofLEDsareusuallydeterminedbasedonexperienceortrialanderror.Thisdesignmethodistime-consuming,inefficient,andunreliable.Inrecentyears,manyoptimizationalgorithmshavebeenproposedforLEDarraydesigntoachievethebestilluminationuniformity. Theparticleswarmoptimization(PSO)algorithmisaglobaloptimizationalgorithmbasedontheswarmtheory.Ithasbeensuccessfullyappliedinmanyoptimizationproblemsduetoitssimplicity,efficiency,andsuitabilityforproblemswithcomplexsearchspaces.ThePSOalgorithmhasbeenusedinmanyLEDarraydesignproblemstooptimizethenumber,position,andcurrentofLEDs. Inthispaper,weproposeanLEDarraydesignmethodbasedonthePSOalgorithmtoachieveoptimalilluminationuniformity.Theproposedmethodcanoptimizethenumber,position,andcurrentofLEDstoachievethebestilluminationuniformity.Theremainderofthispaperisorganizedasfollows:Section2describestheproposedLEDarraydesignmethod.Section3pr