matlab2013a非線性控制設(shè)計(jì)模塊例子

1、Matlab2013a非線性控制設(shè)計(jì)模塊為：SimulinkDesignOptimization(該版本改成了SimulinkDesignOptimization)下面為設(shè)計(jì)優(yōu)化以滿足階躍響應(yīng)需求的例子。詳細(xì)過(guò)程：1.打開(kāi)例子。在commandwindow中輸入：sys=sldo_model1;open_system(sys);2.增加模塊CheckStepResponseCharacteristics如下圖也SimulinkLibraryBrowserFileEditView旦e：lpEntersearchte-rrn嗣也&LibrariesLibrary:SimulinkDesignOpt

2、imization/SignalConstraintsSearchResults:(nar=MembershipFunctionsImageAcquisitionToolboxModelPredictiveControlToolboxNsuralNetworkToolboxRobustControlToolboxl-lCheckCustomBeundsSimscapeSimulink3DAnimationSimulinkCoderSimulinkControlD&signLinearAnalysisPlotsModelVerificationSimulinkDesignOptimization

3、AdaptiveLookupTablesModelVerificationRMSBlocksSignalConstraintsSimulinkExtrasSimulinkVerificationandValidationStat&flowSystemIdentificationToolboxxPCTarge-tShov/ing:SimulinkDesignOptimizatian/Sign日IConstraints陌SinkBlockParameters:匚heckStepRe&ponseCharacteristirsCheckStepResponseCharacteristicsAssert

4、thattheinputsignalsatisfiesboundsspecifiedbystepresponsecharacteristics.BoundsAssertion0IncludestepresponseboundinassertionInitialvalue:%Overshoot:Steptime(seconds):Risetimeseconds:Settlingtimeseconds):HEnablezero-crossingdetectionOKCancelHelpApplyResponseOptimization.ShowPlotIShowplotonblockopen4.修

5、改參數(shù)上升時(shí)間Risetime(seconds),設(shè)置為2.5調(diào)整時(shí)間Settlingtime(seconds),設(shè)置為30超調(diào)量%Overshoot,設(shè)置為55.設(shè)置完上面的參數(shù)后。點(diǎn)擊該窗口的右下角ResponseOptimization如下圖6.選:RESPONSEUFTIMIZ.-.TIUNSearehwork5pac已variablesNameVaueVanabePreviewName千SIMUUNKWorkspace(5ldD_modelljNameVaue0.5000PlotcurrentResponseUncertdinVariabesSet:UncertainVariable

6、sSet:過(guò)None亍sldomodell/Check：stepResponseiJharacteristics#DesignOptimizatioDesignVariablesSet:n-sldo_modell-sido_rnodell/CheckStepResponseCharacteristicsMATLABWorkspaceNone存/mathwo.SDOT00LWorkspaceDesiqnVaridblesSet:園Select屆PlotCurrentResponseaOptions同NewLJAddPlotOptimizeCloseREQUIREMENTSPLOTSopumizahonCLOSEsidomodell/CheckStepRespon呂皂Chu.UsetospeciriivariciblesusedbytheSimulinkmodeltooptimizeVariableValueMin.Max.VariableCurr