简介:Reconfigurabilityoftheelectricalnetworkinashipboardpowersystem(SPS)afteritsfailureiscentraltotherestorationofpowersupplyandimprovessurvivabilityofanSPS.Thenavigationalprocesscreatesasequenceofdifferentoperatingconditions.Thepriorityofsomeloadsdiffersinchangingoperatingconditions.AfteranalyzingcharacteristicsoftypicalSPS,amodelwasdevelopedusedagradeⅢswitchboardandanenvironmentalprioritizingagent(EPA)algorithm.Thisalgorithmwaschosenasitislogicallyandphysicallydecentralizedaswellasmulti-agentoriented.TheEPAalgorithmwasusedtodecideonthedynamicloadpriority,thenitselectedthemeanstobestmeetthemaximumpowersupplyload.Thesimulationresultsshowedthathigherpriorityloadswerethefirsttoberestored.Thesystemsatisfiedallnecessaryconstraints,demonstratingtheeffectivenessandvalidityoftheproposedmethod.
简介:Inthenormaloperationcondition,aconventionalsquare-rootcubatureKalmanfilter(SRCKF)givessufficientlygoodestimationresults.However,ifthemeasurementsarenotreliable,theSRCKFmaygiveinaccurateresultsanddivergesbytime.ThisstudyintroducesanadaptiveSRCKFalgorithmwiththefiltergaincorrectionforthecaseofmeasurementmalfunctions.Byproposingaswitchingcriterion,anoptimalfilterisselectedfromtheadaptiveandconventionalSRCKFaccordingtothemeasurementquality.Asubsystemsoftfaultdetectionalgorithmisbuiltwiththefilterresidual.Utilizingaclearsubsystemfaultcoefficient,thefaultysubsystemisisolatedasaresultofthesystemreconstruction.Inordertoimprovetheperformanceofthemulti-sensorsystem,ahybridfusionalgorithmispresentedbasedontheadaptiveSRCKF.Thestateanderrorcovariancematrixarealsopredictedbythepriorifusionestimates,andareupdatedbythepredictedandestimatedinformationofsubsystems.Theproposedalgorithmswereappliedtothevesseldynamicpositioningsystemsimulation.TheywerecomparedwithnormalSRCKFandlocalestimationweightedfusionalgorithm.ThesimulationresultsshowthatthepresentedadaptiveSRCKFimprovestherobustnessofsubsystemfiltering,andthehybridfusionalgorithmhasthebetterperformance.Thesimulationverifiestheeffectivenessoftheproposedalgorithms.