简介:Inthispaper,buildingtogrid(B2G)andvehicletogrid(V2G)havebeendefinedwithclearandpracticalunderstanding.Bothofthemarenewgenerationtechnologieswhicharetheessentialpartofsmartcitylivingandcrowdenergyclustering.Firstly,anin-detailedoverviewhasbeenprovidedwithanintroductiontoB2GandV2Gfollowedbyahistoricaloverviewandtheoreticalanalysisinrespecttosmartcityplanning.Next,areviewisconductedoncurrentandprevioussmartlivingresearch,whichdealswithB2GandV2G.EfficientB2GandV2Gimplementationsinpracticalcasesthenhavebeendiscussed.Lastly,bothofthesetechnicalprospectshavebeenanalyzedincrowdenergydiagram.
简介:Inthispaper,anewadaptiveoptimalguidancelawwithimpactangleandseeker’sfield-of-view(FOV)angleconstraintsisproposed.Tothisend,thegeneralizedoptimalguidancelawisderivedfirst.Achangeableimpactangleweighting(IAW)coefficientisintroducedandusedtomodifytheguidancelawtomakeitadaptiveforallguidanceconstraints.Afterintegratingtheclosed-formsolutionoftheguidancecommandwithlinearizedengagementkinematics,theanalyticpredictivemodelsofimpactangleandFOVanglearebuilt,andtheavailablerangeofIAWcorrespondingtoconstraintsiscertain.Next,acalculationschemeispresentedtoacquirethereal-timevalueofIAWduringtheentireguidanceprocess.Whenapplyingtheproposedguidancelaw,theIAWwillkeepsmalltoavoidatrajectoryclimbinguptolimitFOVangleataninitialtimebutwillincreasewiththeclosingtargettoimproveimpactpositionandangleaccuracy,therebyensuringthattheguidancelawcanjuggleordersofguidanceaccuracyandconstraintscontrol.