PID中英文对照翻译.docx

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PID中英文对照翻译

中英文互译

PIDControl

Introduction

ThePIDcontrolleristhemostcommonformoffeedback。

Itwasanessentialelementofearlygovernorsanditbecamethestandardtoolwhenprocesscontrolemergedinthe1940s。

Inprocesscontroltoday,morethan95%ofthecontrolloopsareofPIDtype,mostloopsareactuallyPIcontrol。

PIDcontrollersaretodayfoundinallareaswherecontrolisused.Thecontrollerscomeinmanydifferentforms.Therearestandalonesystemsinboxesforoneorafewloops,whicharemanufacturedbythehundredthousandsyearly.PIDcontrolisanimportantingredientofadistributedcontrolsystem。

Thecontrollersarealsoembeddedinmanyspecialpurposecontrolsystems。

PIDcontrolisoftencombinedwithlogic,sequentialfunctions,selectors,andsimplefunctionblockstobuildthecomplicatedautomationsystemsusedforenergyproduction,transportation,andmanufacturing。

Manysophisticatedcontrolstrategies,suchasmodelpredictivecontrol,arealsoorganizedhierarchically。

PIDcontrolisusedatthelowestlevel;themultivariablecontrollergivesthesetpointstothecontrollersatthelowerlevel。

ThePIDcontrollercanthusbesaidtobethe“breadandbutterofcontrolengineering.Itisanimportantcomponentineverycontrolengineer’stoolbox。

PIDcontrollershavesurvivedmanychangesintechnology,frommechanicsandpneumaticstomicroprocessorsviaelectronictubes,transistors,integratedcircuits.ThemicroprocessorhashadadramaticinfluencethePIDcontroller。

PracticallyallPIDcontrollersmadetodayarebasedonmicroprocessors。

Thishasgivenopportunitiestoprovideadditionalfeatureslikeautomatictuning,gainscheduling,andcontinuousadaptation.

6。

2TheAlgorithm

WewillstartbysummarizingthekeyfeaturesofthePIDcontroller。

The“textbook”versionofthePIDalgorithmisdescribedby:

6.1

whereyisthemeasuredprocessvariable,rthereferencevariable,uisthecontrolsignalandeisthecontrolerror(e=

−y).Thereferencevariableisoftencalledthesetpoint。

Thecontrolsignalisthusasumofthreeterms:

theP—term(whichisproportionaltotheerror),theI-term(whichisproportionaltotheintegraloftheerror),andtheD—term(whichisproportionaltothederivativeoftheerror).ThecontrollerparametersareproportionalgainK,integraltimeTi,andderivativetimeTd。

Theintegral,proportionalandderivativepartcanbeinterpretedascontrolactionsbasedonthepast,thepresentandthefutureasisillustratedinFigure2.2。

ThederivativepartcanalsobeinterpretedaspredictionbylinearextrapolationasisillustratedinFigure2.2.Theactionofthedifferenttermscanbeillustratedbythefollowingfigureswhichshowtheresponsetostepchangesinthereferencevalueinatypicalcase。

EffectsofProportional,IntegralandDerivativeAction

ProportionalcontrolisillustratedinFigure6。

1.ThecontrollerisgivenbyD6。

1EwithTi=

andTd=0。

Thefigureshowsthatthereisalwaysasteadystateerrorinproportionalcontrol。

Theerrorwilldecreasewithincreasinggain,butthetendencytowardsoscillationwillalsoincrease.

Figure6.2illustratestheeffectsofaddingintegral.ItfollowsfromD6.1EthatthestrengthofintegralactionincreaseswithdecreasingintegraltimeTi。

Thefigureshowsthatthesteadystateerrordisappearswhenintegralactionisused。

Comparewiththediscussionofthe“magicofintegralaction"inSection2.2。

ThetendencyforoscillationalsoincreaseswithdecreasingTi.ThepropertiesofderivativeactionareillustratedinFigure6。

3.

Figure6。

3illustratestheeffectsofaddingderivativeaction.TheparametersKandTiarechosensothattheclosedloopsystemisoscillatory。

Dampingincreaseswithincreasingderivativetime,butdecreasesagainwhenderivativetimebecomestoolarge。

RecallthatderivativeactioncanbeinterpretedasprovidingpredictionbylinearextrapolationoverthetimeTd。

UsingthisinterpretationitiseasytounderstandthatderivativeactiondoesnothelpifthepredictiontimeTdistoolarge.InFigure6。

3theperiodofoscillationisabout6sforthesystemwithoutderivativeChapter6。

PIDControl

Figure6。

1

Figure6。

2

DerivativeactionsceasetobeeffectivewhenTdislargerthana1s(onesixthoftheperiod).Alsonoticethattheperiodofoscillationincreaseswhenderivativetimeisincreased.

APerspective

ThereismuchmoretoPIDthanisrevealedby(6.1)。

Afaithfulimplementationoftheequationwillactuallynotresultinagoodcontroller。

ToobtainagoodPIDcontrolleritisalsonecessarytoconsider。

Figure6.3

∙Noisefilteringandhighfrequencyrolloff

∙Setpointweightingand2DOF

∙Windup

∙Tuning

∙Computerimplementation

InthecaseofthePIDcontrollertheseissuesemergedorganicallyasthetechnologydevelopedbuttheyareactuallyimportantintheimplementationofallcontrollers。

Manyofthesequestionsarecloselyrelatedtofundamentalpropertiesoffeedback,someofthemhavebeendiscussedearlierinthebook。

6.3FilteringandSetPointWeighting

Differentiationisalwayssensitivetonoise。

ThisisclearlyseenfromthetransferfunctionG(s)=sofadifferentiatorwhichgoestoinfinityforlarges。

Thefollowingexampleisalsoilluminating。

wherethenoiseissinusoidalnoisewithfrequencyw。

Thederivativeofthesignalis

Thesignaltonoiseratiofortheoriginalsignalis1/anbutthesignaltonoiseratioofthedifferentiatedsignalisw/an.Thisratiocanbearbitrarilyhighifwislarge。

Inapracticalcontrollerwithderivativeactionitistherefornecessarytolimitthehighfrequencygainofthederivativeterm.Thiscanbedonebyimplementingthederivativetermas

6.2

insteadofD=sTdY。

Theapproximationgivenby(6。

2)canbeinterpretedastheidealderivativesTdfilteredbyafirst—ordersystemwiththetimeconstantTd/N。

Theapproximationactsasaderivativeforlow—frequencysignalcomponents。

Thegain,however,islimitedtoKN。

Thismeansthathigh-frequencymeasurementnoiseisamplifiedatmostbyafactorKN.TypicalvaluesofNare8to20。

Furtherlimitationofthehigh-frequencygain

ThetransferfunctionfrommeasurementytocontrolleroutputuofaPIDcontrollerwiththeapproximatederivativeis

Thiscontrollerhasconstantgain

athighfrequencies。

ItfollowsfromthediscussiononrobustnessagainstprocessvariationsinSection5。

5thatitishighlydesirabletorolloffthecontrollergainathighfrequencies。

Thiscanbeachievedbyadditional

lowpassfilteringofthecontrolsignalby

whereTfisthefiltertimeconstantandnistheorderofthefilter.ThechoiceofTfisacompromisebetweenfilteringcapacityandperformance。

ThevalueofTfcanbecoupledtothecontrollertimeconstantsinthesamewayasforthederivativefilterabove。

Ifthederivativetimeisused,Tf=Td/Nisasuitablechoice。

IfthecontrollerisonlyPI,Tf=Ti/Nmaybesuitable。

Thecontrollercanalsobeimplementedas

6。

3

ThisstructurehastheadvantagethatwecandevelopthedesignmethodsforanidealPIDcontrolleranduseaniterativedesignprocedure。

ThecontrollerisfirstdesignedfortheprocessP(s)。

ThedesigngivesthecontrollerparameterTd.AnidealcontrollerfortheprocessP(s)/(1+sTd/N)2isthendesignedgivinganewvalueofTdetc。

Suchaprocedurewillalsogiveaclearpictureofthetradeoffbetweenperformanceandfiltering。

SetPointWeighting

Whenusingthecontrollawgivenby(6.1)itfollowsthatastepchangeinthereferencesignalwillresultinanimpulseinthecontrolsignal。

Thisisoftenhighlyundesirablethereforderivativeactionisfrequentlynotappliedtothereferencesignal.Thisproblemcanbeavoidedbyfilteringthereferencevaluebeforefeedingittothecontroller。

Anotherpossibilityistoletproportionalactionactonlyonpartofthereferencesignal。

Thisiscalledsetpointweighting。

APIDcontrollergivenby(6。

1)thenbecomes

6。

4

wherebandcareadditionalparameter。

Theintegraltermmustbebasedonerrorfeedbacktoensurethedesiredsteadystate。

ThecontrollergivenbyD6。

4Ehasastructurewithtwodegreesoffreedombecausethesignalpathfromytouisdifferentfromthatfromrtou。

Thetransferfunctionfromrtouis

6.5

Timet

Figure6。

4Responsetoastepinthereferenceforsystemswithdifferentsetpointweightsb=0dashed,b=0.5fullandb=1.0dashdotted。

TheprocesshasthetransferfunctionP(s)=1/(s+1)3andthecontrollerparametersarek=3,ki=1.5andkd=1.5。

andthetransferfunctionfromytouis

6。

6

Setpointweightingisthusaspecialcaseofcontrollershavingtwodegreesoffreedom.

Thesystemobtainedwiththecontroller(6.4)respondtoloaddisturbancesandmeasurementnoiseinthesamewayasthecontroller(6.1)。

Theresponsetoreferencevaluescanbemodifiedbytheparametersbandc。

ThisisillustratedinFigure6。

4,whichshowstheresponseofaPIDcontrollertoset—pointchanges,loaddisturbances,andmeasurementerrorsfordifferentvaluesofb。

Thefigureshowsclearlytheeffectofchangingb。

Theovershootforset-pointchangesissmallestforb=0,whichisthecasewherethereferenceisonlyintroducedintheintegralterm,andincreaseswithincreasingb。

Theparametercisnormallyzerotoavoidlargetransientsinthecontrolsignalduetosuddenchangesintheset—point.

6。

4DifferentParameterizations

ThePIDalgorithmgivenbyEquation(6。

1)canberepresentedbythetransferfunction

6.7

6。

8

6。

9

AninteractingcontrolleroftheformEquationD6。

8Ethatcorrespondstoanon—interactingcontrollercanbefoundonlyif

Theparametersarethengivenby

6。

10

Thenon—interactingcontrollergivenbyEq

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