粒子群算法及其在串聯(lián)盤輸送機控制系統(tǒng)中的應用研究.pdf

1、遼寧工程技術大學碩士學位論文粒子群算法及其在串聯(lián)盤輸送機控制系統(tǒng)中的應用研究姓名：譚立靜申請學位級別：碩士專業(yè)：機械電子工程指導教師：欒麗君20070301AbstractParticleSwarmOptimizationisswarlnintelligencebasedbiologicalin卵面耐。l難mi盈婦algorithmItin印i戚fromthesocialbehaviorofbiologyanditsfundamenta

2、lidealisthatprvsentsaDewapproachforoptimigationproblemthroughemergenceintelligencefromthecoopcl嘶onandcompetitionofindividualsDuetoitsconceptualsimplicity，easyimplementationaadhavingfewparameterstotime，manylesearchershasb

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4、onPSOconcernedwithitsprinciplesimprovementsandapplicationsThed耽ailedcontentissummarizedasfollows曲ThepapergivesadetailedsurveyofPSOfromitscurrentresearchdevelopmenttrendandapplicationareaThrees3varmintelligencebasedoptimi

5、zationalgorithmsaredescribedandthecharactersoftllcsealgorithmsarcalsoanalyzedrespectivelyb1GiveanempiricalstudyofanimportantpmmncterofPSOinertiaweigkAnewnonlineardynamical&adaptiveselectionapproachofinertiaweighispI鎂嘲刪，鞠

6、VingtheuserfiDmatedioustrialanda∞rbasedapproachtodek釘nineitforeachspeci五cproblemc)TosolvetheproblemoftrappedinthelocalminimaoftraditionalPSO，weproposedan唧hybridglobaloptimizationalgorithmbasedonPSOandDEThesimulationresul

7、tsillustratesthatPSODEisglobaloptimizationalgorithmwithrapidconvergence刪andhighresultsprecise＆robustd)SetupanonlinearmathematicalmodeloftheconlrolsystemofContinuousConveyerofDiscTubeAssembleBasedonPSODEwedesignedanewPIDc

8、ontroHerPSODEPIDandthenappliedittocontroltheproposedmathematicalmodelThroughtheexperimentalsimulationandPSODEPIDhasabettercontrolrobustanddynam劃charaLt盯whencomparedwithPSGPIDandGA—PDapproachKeywords：ParticleSwarmOptimiza