多频激励汽车悬架系统的非线性动力学行为研究

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1、接要燕要(近年来，．隧糟智能季葶耪懿高逮发展，莱稻游疆菲线後鞭尼(毽括电流交隧愿、磁沆交辍爝等)翦汽车慧桨戆疆究翻蕊受到天嬲躲关注。滞瑟嚣线瞧瓣多髓搜移菲毙潺缝会等致系械复杂嚣线性磁力学彳亍梵的发垒。出予对汽车静速度、武全性和舒适性等方面的髅求不断提高，必须从力举机理上研究汽车与路面激激蠲熬禳夏影豌虢及系统凑帮存程豹分敲、滢涟餐嚣绫缝漤力学行淹。鼹跫，鬟蔫鼹于汽车懋蘩串≤}绫淫麓力学行为静邂论研究游不多觅。』本文遽过瑷论分褥帮数毽蕊囊，舔巍了汽车憝絮潺～滞螽菲绒性系统酌复杂动力学行为。善宠，赣究了在鸯莛聚蕊律帮嚣蠢按

2、缀条箨下，汽车鏊禁运一多频激麓滞嚣菲线性系统的主共振和缀合共振，得弼了系统盼分髂方程，利爝奇异能理论辩汽车悬絮系绫能分岔模式避行谈裂，骥究了汽攀悫絮系统静羧念辩动力学行为：并用数值方法研究了熊爨在不同模悉阅的传递，以及系统参数辩动力擎行势的嚣蕊。另外，还研究了具有滞厝非线性的简单汽车怒架模型在单频激励、拟周期激励下豹混淹运动。首先对予冬静识别濑海运动豹数後方法绘遗了本文盛臻程露豹基本滚程，羚戳Chen’S蔽萼

3、子为铡鼹冬寂翅稷掺遴孬了骚谴。熬蠢矮～Met～nikov方法褥戮了系统发艇漏淹运动鲍理论阕镶，静逮过时阀掰糕

4、趣线、鞠轨线、～Poinear6蝴、整幽和!兰璺黜避!塑塾对系统的混沌遮渤进行了数傻硬究，进～步验诞了由理论方法褥到鹃缀论。燕键询：分翁，奇异性，溅漶，汽率悬裂潞爱非线慢AbstractWiththequickdevelopmentofsmartmaterials，tbeinvestigationonintelligentvehiclesuspensionsystem晰mhystere畦cdamping(suchaselectro—theologicalfluidandmagneto·rheologicalfluid

5、damping)hasbeenpaidmoreandmoreaRemion．Multi-valuedandnon-smoothhysteresiswillleadtomanycomplicatednonlineardynamicalbehaviors。suchasbifurcatiOnSandchaos．As斑erequirementofranningstabilityandridingq糖l嗡itneedstobestudied氆attheinteractionbetweenvehicleandroadexcita

6、tion，aswellasthedynamicalphenomenaofthesystem，However，thestudyonnonlineard臻amicalbehaviorsinthevehiclesuspensionsystemWaSseldomfoundinpublications．Inthisdissertation，thedynamicalbehaviorsinvehiclesuspensionsystemwithhysteretienonlinearityareinvestigatedtheoreti

7、callyandnumerically．强ebifurcationandsingularityofthesystemareinvestigated．when掰maryandcombinationresonanceoccursinthecaseofinternalresonanceandnon—intemalresonance．Thebifurcationequationsareobtained，andthebifurcationmodelsareidentifiedbythemethodofsingularityth

8、eory．Inaddition,theenergytransferbetweendifferentmodelsandtheeffectsofsystemparameters011dynamicalbehaviorsareinvestigatednumedcallN讹einvestigationonthechaoticmotionofthesimplyvehiclesuspensionmodelunderham蛐nicexcitationandquasi-periodicexcitationisalsogiven．Fi

9、rsLthecomputerprogramsforidentifyingchaosusedinthisdissertationaleshownandverifiedbyCben’sattractor．Then,theMelnikov’sfunctionisderivedtoanticipatethepossibilityofthechaotic