Application of an improved adaptive chaos prediction model in aero-engine performance parameters英文资料

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1、WSEASTRANSACTIONSonMATHEMATICSChunxiaoZhang,JunjieYueApplicationofanimprovedadaptivechaospredictionmodelinaero-engineperformanceparametersCHUNXIAOZHANGJUNJIEYUECollegeofScienceCollegeofAeronauticalEngineeringCivilAviationUniversityofChinaCivilAviationUniversityofChinaTianjinTianjinCHINACHINAc

2、xzhang@cauc.edu.cnjjyueyjs09@cauc.edu.cnAbstract:Basedontheresearchofcomplexityandnon-linearityofaero-engineexhaustgastemperature(EGT)system,aregularizationadaptivechaoticpredictionmodelappliedinshorttimeforecastingofEGTwasproposed.Inthisresearch,wedevelopanewhybridparticleswarmoptimization(H

3、PSO)arithmeticinordertoimprovetheaccuracyoftheforecastingmodel.Thisarithmeticenhancedtheabilityofdealingwithintegervariablesandconstraintsbyaddingandchangingsomemanipulationstofitinwithoptimizingcontinuousandintegervariables.ThetestresultsarebasedonQARdatasuppliedbyacivilairlinecompany,andshow

4、thattheproposedframeworkperformsbetterthanthetraditionalchaoticforecastingmodelonpredictionaccuracy.Therefore,thisarithmeticisefficientandfeasibleforashort-termpredictionofaero-engineexhaustgastemperature.KeyWords:Exhaustgastemperature(EGT);Regularization;Adaptivechaosprediction;Hybridparticle

5、swarmoptimization(HPSO);Principalcomponentregression(PCR);Aero-engine.1Introductionleastsquares(OLS),themodelexistedtheseriousmulticollinearitythatwillincreasethepredictinger-Advancedmonitorandprognosticschemestodeter-ror.Someresearchersandscholarsforecastedenginemineengineconditionisimportan

6、tformoderncivilsystemsreliabilitybyneuralnetworkmode[5],theyaircraftinordertoreduceunnecessarymaintenanceimprovedBPneuralnetworktodynamicallyforecastactionandimproveaircraftsafety.Thus,thecur-read-time,buttheoverlearningandunstabletrainingrentestimatesofengineconditionarenecessarybe-ofneuraln

7、etworkwereinsurmountableproblems.Inforeupcomingfightstoavoiddelays.Infact,ab-[6],theKalmanfiltermethodwasproposedtoesti-normalityofenginecanbeidentifiedbymonitoringmatetheaero-enginehealthparameters.Kalmanfilterperformanceparametersofengine.There