software architecture for state estimation on an experimental lowcost smallscaled helicopter.docx
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software architecture for state estimation on an experimental lowcost smallscaled helicopter.docx
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softwarearchitectureforstateestimationonanexperimentallowcostsmallscaledhelicopter
Mitigationofcross-contaminationinanaircraftcabinvialocalizedexhaust OriginalResearchArticle
BuildingandEnvironment
WeaponselectionusingtheAHPandTOPSISmethodsunderfuzzyenvironment OriginalResearchArticle
ExpertSystemswithApplications
Theweaponselectionproblemisastrategicissueandhasasignificantimpactontheefficiencyofdefensesystems.Ontheotherhand,selectingtheoptimalweaponamongmanyalternativesisamulti-criteriadecision-making(MCDM)problem.Thispaperdevelopsanevaluationmodelbasedontheanalytichierarchyprocess(AHP)andthetechniquefororderperformancebysimilaritytoidealsolution(TOPSIS),tohelptheactorsindefenceindustriesfortheselectionofoptimalweaponinafuzzyenvironmentwherethevaguenessandsubjectivityarehandledwithlinguisticvaluesparameterizedbytriangularfuzzynumbers.TheAHPisusedtoanalyzethestructureoftheweaponselectionproblemandtodetermineweightsofthecriteria,andfuzzyTOPSISmethodisusedtoobtainfinalranking.Arealworldapplicationisconductedtoillustratetheutilizationofthemodelfortheweaponselectionproblem.Theapplicationcouldbeinterpretedasdemonstratingtheeffectivenessandfeasibilityoftheproposedmodel.
ArticleOutline
1.Introduction
2.Methods
2.1.TheAHPmethod
2.2.TheTOPSISmethod
2.3.ThefuzzyTOPSISmethod
3.Theproposedmodel
4.ANumericapplicationofproposedmodel
4.1.Identificationofnecessarycriteriaforweaponselection
4.2.Calculatetheweightsofcriteria
4.3.Evaluationofalternativesanddeterminethefinalrank
5.Conclusionandsuggestions
References
DevelopmentandapplicationofanintegratedframeworkforsmallUAVflightcontroldevelopment OriginalResearchArticle
Mechatronics
ThispaperpresentsanintegratedframeworkforsmallUnmannedAerialVehicle(UAV)flightcontroldevelopment.Theapproachprovidesasystematicprocedureforflightcontroldesignprocesswithasetofdesigntoolsthatenablescontrolengineerstorapidlysynthesize,analyzeandvalidateacandidatecontrollerdesign.Amodel-basedenvironmentintegratedwithcontrolsynthesis,off-lineandreal-timesimulationisdevelopedforflightcontrolsynthesis,analysisandtestings.TheeffectivenessoftheproposedintegratedframeworkisdemonstratedbyapplyingtheframeworkapproachtoasmallUAVtestbed.Software-in-the-loop,processor-in-the-loopandflighttestingsareconductedwiththesynthesizedcontrollerimplemented.Closed-loopperformanceandrobustnessresultsobtainedarepresented.
ArticleOutline
1.Introduction
2.SmallUAVsimulationmodel
2.1.UAVplatform
2.2.Propulsionmodel
2.2.1.Propulsionmotor
2.2.2.Propellercharacteristics
2.3.Inertiamodel
2.4.Aerodynamicmodel
2.4.1.Forceequations
2.4.2.Momentequations
2.4.3.Kinematicequations
2.5.Flighttestparameteridentification
2.5.1.Modelstructureforparameteridentification
2.5.2.Systemidentificationflighttest
2.5.3.Parameteridentification
2.6.Uncertaintymodeling
2.6.1.Parametricuncertaintymodeling
2.6.2.Aerodynamiccoefficientsupdating
2.6.3.Simplifieduncertainlinearmodelforcontrollersynthesis
3.Flightcontrolarchitecture,synthesisandimplementation
3.1.Flightcontrolarchitecture
3.2.Rollanglecontrollersynthesis
3.2.1.Weightingfunctionsselection
3.2.2.μsynthesis
3.3.Controllerimplementation
4.Integratedframework
4.1.Integratedframeworkflightcontroldevelopmenttesting
4.1.1.Initialdesigntesting
4.1.2.Software-in-the-looptesting
4.1.3.Processor-in-the-looptesting
4.1.4.Flighttesting
4.2.Processor-in-the-loopsimulator
4.2.1.PILsoftwaresystemarchitecture
4.2.2.PILhardwaresystemarchitecture
5.Applicationofintegratedframeworkandresults
5.1.Flighttestvalidationsetup
5.1.1.Referencecommandsignaldesign
5.1.2.Validationtestsetup
5.2.Results
5.2.1.Initialdesigntesting
5.2.2.Software-in-the-looptesting
5.2.3.Processor-in-the-looptesting
5.2.4.Flighttesting
6.Conclusion
References
fireandenvironmentalvariablesonplantstructureandcompositioningrazedsaltdesertshrublandsoftheGreatBasin(USA) OriginalResearchArticle
JournalofAridEnvironments
Comprehensiveanalysisoftransportaircraftflightperformance ReviewArticle
ProgressinAerospaceSciences
Thispaperreviewsthestate-of-theartincomprehensiveperformancecodesforfixed-wingaircraft.Theimportanceofsystemanalysisinflightperformanceisdiscussed.Thepaperhighlightstheroleofaerodynamics,propulsion,flightmechanics,aeroacoustics,flightoperation,numericaloptimisation,stochasticmethodsandnumericalanalysis.Thelatterdisciplineisusedtoinvestigatethesensitivitiesofthesub-systemstouncertaintiesincriticalstateparametersorfunctionalparameters.Thepaperdiscussescriticallythedatausedforperformanceanalysis,andtheareaswhereprogressisrequired.
Comprehensiveanalysiscodescanbeusedformissionfuelplanning,envelopeexploration,competitionanalysis,awidevarietyofenvironmentalstudies,marketinganalysis,aircraftcertificationandconceptualaircraftdesign.
Acomprehensiveprogramthatusesthemulti-disciplinaryapproachfortransportaircraftispresented.Themodelincludesageometrydeck,aseparateengineinputdeckwiththemainparameters,adatabaseofengineperformancefromanindependentsimulation,andanoperationaldeck.Thecomprehensivecodehasmodulesforderivingthegeometryfrombitmapfiles,anaerodynamicsmodelforallflightconditions,aflightmechanicsmodelforflightenvelopesandmissionanalysis,anaircraftnoisemodelandengineemissions.Themodelisvalidatedatdifferentlevels.ValidationoftheaerodynamicmodelisdoneagainstthescalemodelsDLR-F4andF6.AgeneralmodelanalysisandflightenvelopeexplorationareshownfortheBoeingB-777-300withGE-90turbofanengineswithintermediatepassengercapacity(394passengersin2classes).Validationoftheflightmodelisdonebysensitivityanalysisonthewettedarea(orprofiledrag),onthespecificairrange,thebrake-releasegrossweightandtheaircraftnoise.Avarietyofresultsisshown,includingspecificairrangecharts,take-offweight–altitudecharts,payload-rangeperformance,atmosphericeffects,economicMachnumberandnoisetrajectoriesatF.A.R.landingpoints.
ArticleOutline
Nomenclature
1.Introduction
2.Aircraftmodel
2.1.Aircraftgeometry
2.2.Aerodynamics
2.2.1.Liftandinduceddrag
2.2.2.Skinfrictiondrag
2.2.3.Wavedrag
2.2.4.Interferencedrag
2.2.5.Under-carriagedrag
2.2.6.Dragattake-offandlanding
2.2.7.Effectsofhigh-liftdevices
3.Enginemodel
4.Noisemodel
4.1.Airframenoise
4.2.Propulsivenoise
5.Flightmodel
5.1.Longitudinaltrim
5.2.Fuelandweightplanning
5.3.Engineemissions
5.4.Finalapproach
5.5.Flightperformancecalculations
6.Modelvalidation
6.1.Testno.1:
geometry
6.2.Testno.2:
aerodynamics
6.3.Testno.3:
engineperformance
6.4.Testno.4:
energyefficiency
6.5.Testno.5:
payload-rangecharts
6.6.Testno.6:
take-offBFL
7.Resultsandanalysis
7.1.Aerodynamiccharts
7.2.Specificairrangecharts
7.3.EconomicMachnumber
7.4.Performanceoptimisation
7.5.Tankering
7.6.Environmentalanalysis
7.7.Noiseperformance
8.Conclusions
Acknowledgements
References
Bipedrobotdesignpoweredbyantagonisticpneumaticactuatorsformulti-modallocomotion OriginalResearchArticle
RoboticsandAutonomousSystems
Anantagonisticmusclemechanismthatregulatesjointcompliancecontributesenormouslytohumandynamiclocomotion.Antagonismisconsideredtobethekeyforrealizingmorethanonelocomotionmode.Inthispaper,wedemonstratehowantagonisticpneumaticactuatorscanbeutilizedtoachievethreedynamiclocomotionmodes(walking,jumping,andrunning)inabipedrobot.Firstly,wediscussthecontributionofjointcompliancetodynamiclocomotion,whichhighlightstheimportanceoftunablecompliance.Secondly,weintroducethedesignofabipedrobotpoweredbyantagonisticpneumaticactuators.Lastly,weapplysimplefeedforwardcontrollersforrealizingwalking,jumping,andrunningandconfirmthecontributionofjointcompliancetosuchmultimodaldynamiclocomotion.Basedontheresults,wecanconcludethattheantagonisticpneumaticactuatorsaresuperiorcandidatesforconstructingahuman-likedynamiclocomotor.
ArticleOutline
1.Introduction
2.Bipedallocomotionandcompliance
2.1.WalkingbasedonZMP
2.2.Dynamicwalkingbasedonpassivedynamics
2.3.Jumpingandrunning
3.2Dbipedrobotpoweredbyantagonisticpneumaticactuators
3.1.Mechanicaldesignforwalking,jumping,andrunning
3.2.Pneumaticactuatorsandairdesign
3.3.Controlarchitecturedesign
4.Controllersfordynamiclocomotion
4.1.Dynamicpropertyofthepneumaticactuator
4.2.Valveoperationschemefordynamicwalking
4.3.Valveoperationschemeforrunning
5.Walking,jumping,andrunningexperiments
5.1.Aprototypeformultimodallocomotion
5.2.Walkingexperiment
5.3.Jumpingexperiment
5.4.Runningexperiment
6.Summaryandfuturework
Acknowledgements
References
Vitae
Assessmentmethodologyforsoftwareprocessimprovementinsmallorganizations OriginalResearchArticle
InformationandSoftwareTechnology
Context
Diagnosingprocessesinasmallcompanyrequiresprocessassessmentpracticeswhichgivequalitativeandquantitativeresults;theseshouldofferanoverallviewoftheprocesscapability.Thepurposeistoobtainrelevantinformationabouttherunningofprocesses,foruseintheircon
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