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1、华北科技学院毕业设计外文资料翻译2013届电子信息工程学院外文文献及译稿外文文献题目：DynamicalAdaptiveParticleSwarmAlgorithmandItsApplicationtoOptimizationofPIDParameters姓名：学号：专业班级：自动化B095学院（部）：电子信息工程学院指导教师：2013年5月30日13华北科技学院毕业设计外文资料翻译AmericanJournalofOperationsResearch,2012,2,448-451doi:10.4236/aj
2、or.2012.23053PublishedOnlineSeptember2012DynamicalAdaptiveParticleSwarmAlgorithmandItsApplicationtoOptimizationofPIDParametersJiminLi,GuolinYuResearchInstituteofInformationandSystemComputationScience,TheNorthUniversityforNationalities,Yinchuan,ChinaEmail:gu
3、olin_yu@126.comReceivedJune15,2012;revisedJuly18,2012;acceptedAugust5,2012ABSTRACTBasedonanewadaptiveParticleSwarmOptimizationalgorithmwithdynamicallychanginginertiaweight(DAPSO),itisusedtooptimizeparametersinPIDcontroller.ComparedtoconventionalPIDmethods,t
4、hesimulationshowsthatthisnewmethodmakestheoptimizationperfectlyandconvergencequickly.Keywords:ParticleSwarmOptimization;DynamicalAdaptive;PIDAutomaticRegulationSystem1.IntroductionParticleSwarmOptimizationisakindofsimulationgroup(Swarm)intelligentbehaviorof
5、theOptimizationofthealgorithmproposedbyKennedyandEberhart[1]andothers.Itsthoughtsourcefrombirdpreyonbehaveiorresearch.ContrastingPSOwiththegeneticalgorithmandtheantcolonyalgorithm,thePSOmethodissimpleandeasytoimplement,anditcanbeadjustedlessparameterscharac
6、teristics.So,itiswidelyappliedinthestructuraldesign[2],electromagneticfield[3]taskscheduling[4]engineeringoptimizationproblems.Intheparticleswarmalgorithm,theadjustedparame-tersarethemostimportantpartintheinertiaweights.Inordertofindainertiaofweightsselecti
7、onmethodwhichcangetthebestbalancebetweentheglobalsearchandlocalsearch,theresearchershaveputforwardtothelin-eardecreaseweights(LDIW)strategy[5],fuzzyinertiaweights(FIW)strategy[6],andrandominertiaweights(RIW)strategy[7],andsoon.Inthebasicthoughtofdiminishing
8、inertiavalueguidance,thispaperintroducesanewadaptiveself-adaptinginertia,whichisbasedonexpectationsofsurvivalrate.Whentheexpectedsurvivalrategetssmaller,itshowsthattheoptimalparticledistancetopositioni
