基于模糊离散事件系统空调节能控制分析

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1、基于模糊离散事件系统的空调节能控制研究低合成FDES复杂性的方法，为解决降低合成复杂性提供了一种新的解决办法。在空调系统控制模型中，文中提出了一种基于优先级调整的FDES模型，简化了空调控制系统的复杂度，并在计算机上进行Matlab仿真，和感应控制方法作了比较，仿真结果证明了基于优先级调整的FDES模型的有效性，同时也表明了FDES控制具有很好的自适应能力，较感应控制有更好的节能效果。关键词:空调，节能，模糊离散事件系统(FDEs)，优先级基于模糊离散事件系统的空调节能控制研究ResearehonAirConditioningEnergy一Savingcontr

2、olBased一onFuzZyDisereteEventSystemABSTRACTAireonditioningcontrolsystem15acomPlicatedsystemwiththecharacteristicoftime一delay，couPlingandnon一linear.Therequirementformodemairconditioningcontrolishigherthanbefore，thereforeitrequireshighaccuracy，syntheticfunctionandenergysaving，meanwhlleb

3、eeauseoftheuncertalntyinrun，it15imPossiblefortheapPlicationofasimPleeontrolmethodtoachievethedesiredeffect.FuzZydiscreteeventsystem(FDES)15akindofdiscreteeventsystemwhichaimsatsomeasPectsofobjectorcircumstanceswithsystemuneertainties.ByintroducingthefuzZysettheoryintodiscreteeventsys

4、tem，thenewlyformedcross一disciPlinaryFDESmakeitPossibletodeseribedisereteuncertainthingsassoeiatedwithdeterministichumansubjectiveobservationandjudgment，bothquantltativelyandeffectively.Thusfar，oPenanewchanneltoconduetsystematicresearchonthoseinherenteomPlexnonlinearSystemsinrealityby

5、incorporatingemPiricalthoughtandmathematicalmethodology.ThisPaperresearehesontheaireonditioningsystem，basedontheFDEStheory，combinedwiththeasPeetsofACsystem，PuttheFDESontheapPlieationofACsystemresearch，ProPosesanenergysavingeontrol夕基于模糊离散事件系统的空调节能控制研究methodof勿namicehargetraee，introdue

6、estheFDESmodelofACsystem，andgivesoutthecontroldeeisionmodelsofACsystem.ThisPapermainlyincludesfourParts:thebasicconcePtsofACsystemcontrolresearchandtheintroductionofFDES;theresearchofenergysavingeontrolmethodofdynamieehargetrace:themodelingandtheoPtimisticeontrolresearchonFDES:theapP

7、licationofFDESonairconditioningenergysavingcontrolsystem.Theresearchresultandcontelltareasfollows:Basedontheself-stu勿eontrolmethodofdynamieenergymatching/fittingrules，thisPaperaceomPlishestheWholecontrolofairconditioningsystem.ThisPaperthoroughlyiniroducesakindofairconditioning勿namic

8、chargetraein