基于CATIA参数化建模的悬架系统运动模型运用

悬架系统的运动仿真是汽车设计过程的必要步骤。文中在C ATIA软件中采用参数化建模的方法,针对麦弗逊式、扭力梁式和多连杆式这3种形式的悬架系统建立了运动模型,仿真结果与KC试验结果一致,验证了运动模型的准确性。     

转向主销定位参数和接地点偏距的解析研究

本文中提出一种新的车轮转向主销参数及其接地点偏置距的解析方法,适合于不同车型,包含车轮定轴转动的悬架和虚拟主销悬架的车辆.首先分析了车轮微小转动前后的车轮定位矢量,然后根据空间旋转的变换矩阵,并通过误差修正迭代求解出满足误差阈值的主销定位参数.最后选取某两汽车厂家不同悬架型式的车辆进行验证,实车的数据与解析计算结果基本...     

发动机不解体故障检测新方法

随着我军装备车辆的增加，发动机型式越来越复杂，由此带来的发动机维修问题日益突出。笔者应用发动机不解体检测新方法，设计了一款柴油发动机检测仪。该检测仪能够方便快捷地检测出发动机功率、气缸压缩压力等参数是否达到规定值。     

基于ADAMS的双横臂式独立悬架仿真与优化

悬架采用双横臂式独立悬架结构,主要设计要点是四连杆硬点布置,只有最优的双横臂布置,才能得到最优的悬架系统,使整车在行驶过程中产生最小的轮胎磨损,提高整车的横向稳定性。文章在ADAMS View建立了独立悬架参数化模型,通过设定设计变量,设定目标函数,对目标值求最优解,最终仿真优化出最优的悬架硬点布置。通过仿真结果表明:优化后的结果较初定的四连杆机构有很大的改善。     

基于ADAMS的某悬架系统运动特性分析及结构优化

根据多体动力学理论,运用ADAMS／car软件对某微型轿车悬架系统建立了模型并进行仿真分析;使用ADAMS／Insight以轮胎横向滑移量、主销偏距和四个车轮定位参数为设计目标对悬架的结构关键点进行了优化分析,使该悬架的运动学特性更符合理想设计值。     

基于参数化的钢板弹簧悬架系统运动仿真

文章基于"参数化设计"、"SAE圆弧法",快速、准确、直观地模拟了多片簧钢板弹簧悬架系统的运动情况。对减振器、传动轴、稳定杆、吊耳等悬架零部件的设计及悬架系统的运动仿真,提供了便捷的途径。     

麦弗逊式前悬架的设计改进及分析

麦弗逊式独立悬架是减振器作滑动支柱并与下控制臂组成的悬架形式，与其它悬架系统相比．结构简单、性能好、布置紧凑，占用空间少。因此对布置空间要求高的发动机前置前驱动轿车的前悬架几乎全部采用了麦式悬架。文章针对汽车悬架的设计发展趋势，论述了当前麦弗逊前悬架的主要设计改进，并对改进原理进行了分析。     

DD6121HS城市低地板大客车的开发与研制

根据现代城市交通对客车设计制造的要求，从发动机，整车附件选型入手，探讨提高城市的用车功能与改善其性能的问题，并通过对底盘悬架和车加 成结构的研究，从而达到降低乘客地板的目的；借鉴丹东汽车厂与英国ＰＳＶ公司联合设计技术，设计了造型新颖别致的城市客车车身，并采用相应的工艺及装备，开发出相对完善的城市低地板大客车。     

基于整车道路试验的某车型姿态衰减研究

本文基于某前麦弗逊后多连杆悬架型式车型整车道路强化试验姿态衰减结果,利用最小二乘法对整车姿态衰减进行曲线拟合,总结了该悬架型式车型整车姿态衰减的一般规律,同时通过扫描整车硬点的方法分析出整车姿态衰减的影响因素。对整车设计开发阶段整车姿态的设定具有指导意义。     

电动轿车独立转向轮悬架设计

设计了一种四轮独立转向、独立驱动的电动轿车独立悬架,该悬架采用双横臂、扭杆弹簧结构.将导向机构简化为几何模型,根据该几何模型在ADAMS软件中建立参数化模型,以车轮定位参数及汽车侧倾中心为评价目标,对悬架导向机构进行了优化设计,制造出的样机符合设计要求.提出了悬架扭杆弹簧的设计方法,并验证了其合理性.     

FSAE赛车悬架系统结构设计

为配合建立中国大学生方程式汽车大赛(FSAE)赛车的虚拟样机模型,根据FSAE赛事规则要求,对赛车悬架系统进行了结构设计。根据设计思路对轮辋、轮距及前后悬架立柱等相关部件进行了选择与设计,在确定采用不等长双横臂式悬架类型的基础上对弹性元件、减振器和导向机构的主要结构尺寸进行了设计计算,并应用软件Pro/E进行了三维建模设计,同时在SolidWorks环境下对前后摇块进行了强度校核。结果表明,前后摇块的最大合位移分别为4.260×10-3,2.838×10-2mm,最大变形均很小,设计的FSAE赛车悬架系统能够满足参赛要求,为进一步的实车研制提供了参考依据。     

基于ADAMS／Insight的多连杆后悬架系统优化分析

在对某型轿车多连杆后悬架系统建立ADAMS多体动力学模型基础上,对该悬架系统进行了仿真分析,分析了轮跳对后轮定位参数的影响,并结合ADAMS／Insight模块对该悬架部分硬点的位置进行了DOE优化。优化结果表明,对该悬架系统所做的优化设计是正确有效的,改善了该悬架系统的运动特性。     

Active Suspension Control; Performance Comparisons Using Control Laws Applied to a Full Vehicle Model

Based on a mathematical model of an actively suspended vehicle, the effects of the following issues in deriving the control laws are studied:

(a)representation of the ground surface as integrated or filtered white noise.

(b)cross-correlation between left and right track inputs.

(c)wheelbase time delay between front and rear inputs.

The third of these issues is shown to be by far the most important. Considerable improvements at the rear suspension can be obtained if the control law includes the information that the rear input is simply a delayed version of the front input. Effectively this provides feedforward terms in the control law for the rear actuator. For the full state feedback case, these improvements are indicated by reductions in the rear body acceleration and rear dynamic tyre load of around 20% and 40% respectively with no increase in suspension working space.     

Robust design optimization of suspension system by using target cascading method

This study presents the robust design optimization process of suspension system for improving vehicle dynamic performance (ride comfort, handling stability). The proposed design method is so called target cascading method where the design target of the system is cascaded from a vehicle level to a suspension system level. To formalize the proposed method in the view of design process, the design problem structure of suspension system is defined as a (hierarchical) multilevel design optimization, and the design problem for each level is solved using the robust design optimization technique based on a meta-model. Then, In order to verify the proposed design concept, it designed suspension system. For the vehicle level, 44 random variables with 3% of coefficient of variance (COV) were selected and the proposed design process solved the problem by using only 88 exact analyses that included 49 analyses for the initial meta-model and 39 analyses for SAO. For the suspension level, 54 random variables with 10% of COV were selected and the optimal designs solved the problem by using only 168 exact analyses for the front suspension system. Furthermore, 73 random variables with 10% of COV were selected and optimal designs solved the problem by using only 252 exact analyses for the rear suspension system. In order to compare the vehicle dynamic performance between the optimal design model and the initial design model, the ride comfort and the handling stability was analyzed and found to be improved by 16% and by 37%, respectively. This result proves that the suggested design method of suspension system is effective and systematic.     

ADAMS的微型车悬架优化设计

微型车悬架设计的好坏对车轮跳动时前轮前柬和轮距的变化有很大的影响。在ADAMS环境下建立了微型车的悬架刚－柔耦合模型,并在此基础上运用“主要目标法”对悬架进行了多目标优化设计,得到了悬架空间结构的几何形式。经过优化,前轮前束和轮距随车轮跳动时的变化范围大大减小,极大地改善了微型车行驶过程中的操作稳定性。     

基于多目标粒子群优化算法的某轻型商用车操纵稳定性优化研究

针对某轻型商用车稳态回转时侧倾度偏大的问题对其悬架进行优化改进。基于ADAMS/car搭建整车多体动力学模型,通过前悬架反向平行轮跳试验、后悬架理论计算验证了悬架仿真模型的准确性。进行整车稳态回转工况和转向盘中间位置转向工况仿真分析,结果表明,车身侧倾度偏高。为实现操纵稳定性优化分析的流程自动化,提出了基于modeFRONTIER的联合仿真方法。以悬架设计参数为优化变量,以汽车的侧倾度与横摆角速度响应滞后时间为优化目标,采用拉丁超立方试验设计方法拟合得到混合代理模型,并结合多目标粒子群优化算法对悬架系统进行多目标优化,获得了悬架系统优化方案。优化结果显示,在不影响平顺性的前提下,汽车车身侧倾度降低了13.93%,横摆角速度响应滞后时间降低了2.75%,整车操纵稳定性得到了提升。     

汽车磁流变非线性悬架模糊控制

建立了整车悬架系统的三维模型,根据试验数据得出了前后悬架弹簧的非线性特性曲线。前后悬架减振器均采用磁流变减振器,采用Bouc-Wen参数化模型为其阻尼力模型。采用模糊控制算法为整车半主动控制算法,采用ADAMS和Matlab联合对整车平顺性进行仿真。结果表明,采用模糊控制算法控制磁流变非线性悬架可提高整车的平顺性。     

Nonlinear Backstepping Active Suspension Design Applied to a Half-Car Model

A fresh nonlinear backstepping design scheme, which is developed for the control of half-car active suspension systems to improve the inherent tradeoff between ride quality and suspension travel, is proposed in this paper. Since ride quality is dependent on a combination of vertical and angular displacements of a vehicle body, the design of active suspensions must have the potential to minimize heave and pitch movements in order to guarantee the ride comfort of passengers. The other important factor to be emphasized in the design of active suspensions is the suspension travel which means the space variation between the car body and the tires. In order to avoid damaging vehicle components and generating more passenger discomfort, the active suspension controllers must be capable of preventing the suspension from hitting its travel limits. Our design strategy, with two intentionally additional nonlinear filters, shows the potential to achieve these conflicting control objectives. The novelty of our active suspension design is in the use of two particular nonlinear filters at both the front and rear wheels. The effective bandwidths of these two nonlinear filters depend on the magnitudes of the front and rear suspension travels, individually. When suspension travel is small, the proposed controllers soften the suspension for enhancing passenger comfort. However, our control design shifts its attention to rattlespace utilization by stiffening the suspension when suspension travel approaches its limits. As a result, the improvement of tradeoff between ride quality and suspension travel can be guaranteed and is then demonstrated through comparative simulations.     

6自由度半车悬架解耦及其分层振动控制的研究

通过对6自由度半车悬架簧载质量的受力分析,推导出其前后1/4悬架间的定量耦合关系,并以其为基础构建分层振动控制算法.中央控制层以悬架质心处的垂向加速度和俯仰角加速度为控制目标,前后两个1/4悬架构成的两个底层分别采用H_∞和LQR控制策略,并接受中央控制层的协调指令.利用MATLAB的仿真表明,与传统控制相比,分层控制由于前后两个1/4悬架的控制量可以并行解算,计算时间大幅缩短,因而可针对路面激励实施详尽的控制,达到了改善车辆行驶平顺性的目的.     

An Optimal Continuous Time Control Strategy for Active Suspensions with Preview

A continuous time control strategy for an active suspension with preview, based on optimal control theory, is presented. No approximation is needed to model the time delay between the excitation of the front and the rear wheels. The suspension is applied to a two DOF model of the rear side of the tractor of a tractor-semitrailer. The purpose of the suspension is to reduce either the required suspension working space or the maximum absolute acceleration of the sprung mass, without an increase of the dynamic tire force variation. For a step function as road input, reductions of 65% and 55%, respectively, are possible compared with a passive suspension.