自动化专业毕业论文外文文献翻译.doc
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自动化专业毕业论文外文文献翻译.doc
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目录
Part1PIDtypefuzzycontrollerandparametersadaptivemethod 1
Part2Applicationofselfadaptationfuzzy-PIDcontrolformainsteam
temperaturecontrolsysteminpowerstation 7
Part3Neuro-fuzzygeneralizedpredictivecontrolofboilersteamtemperature ………13
Part4为Part3译文:
锅炉蒸汽温度模糊神经网络的广义预测控制21
Part1PIDtypefuzzycontrollerandParametersadaptivemethod
WuzhiQIAO,MasaharuMizumoto
Abstract:
Theauthorsofthispapertrytoanalyzethedynamicbehavioroftheproduct-sumcrisptypefuzzycontroller,revealingthatthistypeoffuzzycontrollerbehavesapproximatelylikeaPDcontrollerthatmayyieldsteady-stateerrorforthecontrolsystem.ByrelatingtotheconventionalPIDcontroltheory,weproposeanewfuzzycontrollerstructure,namelyPIDtypefuzzycontrollerwhichretainsthecharacteristicssimilartotheconventionalPIDcontroller.Inordertoimprovefurthertheperformanceofthefuzzycontroller,weworkoutamethodtotunetheparametersofthePIDtypefuzzycontrolleronline,producingaparameteradaptivefuzzycontroller.Simulationexperimentsaremadetodemonstratethefineperformanceofthesenovelfuzzycontrollerstructures.
Keywords:
Fuzzycontroller;PIDcontrol;Adaptivecontrol
1.Introduction
Amongvariousinferencemethodsusedinthefuzzycontrollerfoundinliteratures,themostwidelyusedonesinpracticearetheMamdanimethodproposedbyMamdaniandhisassociateswhoadoptedtheMin-maxcompositionalruleofinferencebasedonaninterpretationofacontrolruleasaconjunctionoftheantecedentandconsequent,andtheproduct-summethodproposedbyMizumotowhosuggestedtointroducetheproductandarithmeticmeanaggregationoperatorstoreplacethelogicalAND(minimum)andOR(maximum)calculationsintheMin-maxcompositionalruleofinference.
Inthealgorithmofafuzzycontroller,thefuzzyfunctioncalculationisalsoacomplicatedandtimeconsumingtask.TagagiandSugenoproposedacrisptypemodelinwhichtheconsequentpartsofthefuzzycontrolrulesarecrispfunctionalrepresentationorcrisprealnumbersinthesimplifiedcaseinsteadoffuzzysets.Withthismodelofcrisprealnumberoutput,thefuzzysetoftheinferenceconsequencewillbeadiscretefuzzysetwithafinitenumberofpoints,thiscangreatlysimplifythefuzzyfunctionalgorithm.
BoththeMin-maxmethodandtheproduct-summethodareoftenappliedwiththecrispoutputmodelinamixedmanner.Especiallythemixedproduct-sumcrispmodelhasafineperformanceandthesimplestalgorithmthatisveryeasytobeimplementedinhardwaresystemandconvertedintoafuzzyneuralnetworkmodel.Inthispaper,wewilltakeaccountoftheproduct-sumcrisptypefuzzycontroller.
2.PIDtypefuzzycontrollerstructure
Asillustratedinprevioussections,thePDfunctionapproximatelybehaveslikeaparametertime-varyingPDcontroller.Sincethemathematicalmodelsofmostindustrialprocesssystemsareoftype,obviouslytherewouldexistansteady-stateerroriftheyarecontrolledbythiskindoffuzzycontroller.ThischaracteristichasbeenstatedinthebriefreviewofthePIDcontrollerintheprevioussection.
Ifwewanttoeliminatethesteady-stateerrorofthecontrolsystem,wecanimaginetosubstitutetheinput(thechangerateoferrororthederivativeoferror)ofthefuzzycontrollerwiththeintegrationoferror.Thiswillresultthefuzzycontrollerbehavinglikeaparametertime-varyingPIcontroller,thusthesteady-stateerrorisexpelledbytheintegrationaction.However,aPItypefuzzycontrollerwillhaveaslowrisetimeifthePparametersarechosensmall,andhavealargeovershootifthePorIparametersarechosenlarge.Sotheremaybethetimewhenonewantstointroducenotonlytheintegrationcontrolbutthederivativecontroltothefuzzycontrolsystem,becausethederivativecontrolcanreducetheovershootofthesystem'sresponsesoastoimprovethecontrolperformance.Ofcoursethiscanberealizedbydesigningafuzzycontrollerwiththreeinputs,error,thechangerateoferrorandtheintegrationoferror.However,thesemethodswillbehardtoimplementinpracticebecauseofthedifficultyinconstructingfuzzycontrolrules.Usuallyfuzzycontrolrulesareconstructedbysummarizingthemanualcontrolexperienceofanoperatorwhohasbeencontrollingtheindustrialprocessskillfullyandsuccessfully.Theoperatorintuitivelyregulatestheexecutortocontroltheprocessbywatchingtheerrorandthechangerateoftheerrorbetweenthesystem'soutputandtheset-pointvalue.Itisnotthepracticefortheoperatortoobservetheintegrationoferror.Moreover,addingoneinputvariablewillgreatlyincreasethenumberofcontrolrules,theconstructingoffuzzycontrolrulesareevenmoredifficulttaskanditneedsmorecomputationefforts.He
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