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车辆主动悬架二次型最优控制器权矩阵参数优化 Abstract: Inrecentyears,activesuspensionsystemshavebecomeincreasinglypopularintheautomotiveindustry.Thesesystemsaredesignedtoimprovevehiclehandling,stability,andridecomfortbyactivelyadjustingthesuspensioncomponentstochangingroadconditions.Oneimportantcomponentofanactivesuspensionsystemisthecontroller,whichisresponsiblefordeterminingtheoptimalsuspensionsettingsbasedonsensorinputsandotherfactors.Inthispaper,wefocusontheproblemofoptimizingthecontrollerweightmatrixparametersforanactivesuspensionsystem. Introduction: Activesuspensionsystemsarebecomingincreasinglycommoninmodernautomobiles.Thesesystemshaveseveralbenefits,includingimprovedridecomfort,stability,andhandling.Theprimaryfunctionofanyactivesuspensionsystemistoadjustthesuspensioncomponentsinreal-timetoprovidetheoptimalcombinationofridequalityandvehicledynamics.Thecontrollerisoneofthemostimportantcomponentsofanactivesuspensionsystem,asitisresponsiblefordeterminingtheoptimalsuspensionsettingsbasedonsensorinputsandotherfactors.Theweightmatrixparametersofthecontrollerarecriticaltotheperformanceoftheactivesuspensionsystem,astheydeterminehowthecontrollerwillrespondtochangesinroadconditionsandotherfactors. ControllerWeightMatrixParameters: Theweightmatrixofthecontrollerdetermineshowtheinputsfromthesensorsarecombinedtodeterminetheappropriateresponseofthesuspensionsystem.Ingeneral,theweightmatrixisasquarematrixthatdescribestherelationshipbetweentheinputsandtheoutputsofthesystem.Theoptimizationoftheweightmatrixparametersiscriticaltotheperformanceoftheactivesuspensionsystem,asitdetermineshowthesystemwillrespondtochangesinroadconditionsandotherfactors. OptimizationofControllerWeightMatrixParameters: Thereareseveraldifferentmethodsforoptimizingtheweightmatrixparametersofanactivesuspensionsystem.Onecommonapproachistouseageneticalgorithm,whichisatypeofoptimizationalgorithmthatisbasedontheprinciplesofnaturalselection.Inthisapproach,apopulationofpotentialsolutionsisgenerated,andeachsolutionisevaluatedbasedoni