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ID:36559263
大小:2.87 MB
页数:62页
时间:2019-05-12
《智能PID的研究及其在液位控制中的应用》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、安徽农业大学硕士学位论文智能PID的研究及其在液位控制中的应用姓名:葛薇申请学位级别:硕士专业:农业机械化工程指导教师:朱张青20080601AbstractPIDcontroliswidelyusedinindustrialprocesscontrolsystemsforitssimplestructureandgoodadaptability.However,withtherapidlydevelopmentofmanufacturinglevelandsciencetechnology,the
2、moderncontrolsystemsbecomemorecomplicatedandsystematic,anditisdi伍cultforconventionalPIDcontroltoobtainthesatisfiedcontrolquality.IntelligentControl,asabrand—newfieldofautomaticcontrol,providessuchcomplexuncertainproblemanewwaywithitsadvancedandinnovati
3、vethought.Inrecentyears,intelligentPIDcombinedbyintelligentcontrolandPIDcontrolissoattractiveandhasbeeneffectivelyusedinactualproduction,whichshowsthebroaddevelopmentprospect.田1epaperselecttwomajorbranchesofintelligentcontrol—_f畸controlandneuralnetwork
4、controlforstudy.乃eformerisrobustandgoodatdealingwiththestructuralknowledgewithouttheobject’Sprecisemathematicmodel,whilethelatterhastheprimaryadvantageofself-learning,approachinganyarbitraryfunctionandparallelprocessing.OntheBasisofintroducingbasicprin
5、cipleandparameterstuningmethodsofPIDcontrolindetail,abouthowtoeffectivelyintegrate晒control,neuralnetworkwithtraditionalPIDcontrolisexploredpositivelyandseveralcontrolprojectsarealsosummedup.Thepaperfocuses011fuzzyself-tuningPIDandPIDbasedonimprovedBPne
6、uralnetworkwhichgetthemostextensiveapplication.Capabilitiesoftrackingtargets,anti—disturbance,fittingtochangingprocessmodelandotheraspectsarestudiedbysimulationbasedonMA7n,AB/Simulink.髓esimulationcurvesshowthatbothcontrolmethodsareobviouslysuperiortoco
7、nventionalPID.Finally,thespecificmethodusingIntelligentPIDcontrolintypicalindustrialprocesses--levelsystemisstudicd.BasedontheNanjingUniversityprocesscontrollaboratoryCS4000e,【perimentmdevice,selectthedual—capacitywatertankastheobject,andconsiderthebel
8、owwatertanklevelasthecontrolgoal.PID,fuzzyself-tuningPIDstrategyareadoptedseparatelytocontrolwatertanklevelinreal—time.Itanalysestherespectivecontrolqualitythoroughly.Boththesimulationandtheexperimentalresultindicatethatfuzzyself-tuning
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