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ID:36504500
大小:1.77 MB
页数:69页
时间:2019-05-11
《基于遗传算法的现代群控电梯交通客流控制》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、南京工业大学硕士学位论文基于遗传算法的现代群控电梯交通客流控制姓名:唐桂忠申请学位级别:硕士专业:控制理论与控制工程指导教师:张广明20050101AbstractWiththedevelopmentofmodemcity,moreandmoreskyscraperisbuiltinthecitytoday.Itisindispensabletotransportpassengerswithelevatorgroupcomposedofseverallifts.Accordingly,thecontrollingalgorithmofelevatorgrou
2、phasalreadybecomethefocusofresearchathomeandabroad.Foracomplicatedelevatorgroupcontrolsystem(EGCS),becauseofmanykindsofdemands,inthispapermanyintegratedintelligentallocationelevatoralgorithmsareadoptedtoanalyzetrafficflowandproceedtopattem—recognitionoptimally.Consequently,avariety
3、ofalgorithmsofallocatingelevatorareadoptedaccordingtodifferentpatterns.Tomanydisadvantagesofcurrentmethods,thispaperpresentsanalgorithmofallocatingelevatorbasedonGA.Theapproachincreasesrunningefficiencyofelevatorgroup,andreducesenergy。consarning.Simulationexperimentvalidatestheperf
4、ormanceofthemethod.Firstly,wereviewedthedevelopmentandcurrentstatusofEGCSindomesticandinternational,andintroducedadvantagesandshortcomingsofavarietyofEGCS.Wealsoestablishedevaluationfunctionofmulti—objectforEGCS,whichisbasedonevaluatingfourperformanceindexesandanalyzinguncertainfac
5、torsinthecourseofallocatingelevator,Secondly,weproposedtwowaysoftrafficflowpattern-recognition.@Normalfuzzyneuralnetworkisappliedtorecognizethetrafficpatternandgeneticalgorithmwhichisusedtoimproveparametersofmembershipfunctions.②Newmethodbasedonimmuneevolutionaryk-meansclusteringal
6、gorithmispresentedtoidentifytrafficpattern.Experimentalresultsillustratethatthetwomethodsarecapableofrecognizingtrafficpatterns.However,thesecondmethodissuperiortothefirstone·Thirdly,acontrolalgoritbanofelevatorgroupsystemwithinter-floortrafficpattembasedonhybridizedgeneticalgorith
7、misproposedinthispaper.Inthisalgorithm,wesearchalloptimalallocatingmethodbasedonthegoalfunctionoftheminimalaveragewaitingtimeofthepassengers.Weestablishedtheadaptivefunctionaccordingtotherunningstateofelevatorsandthehall—callsignalamonglayers.Attheearlystageoftheevolution,weusestan
8、dardgeneticalgorithmtosear
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