振动压路机三自由度振动模型分析

将振动压路机与被其压实的土统一为同一振动系统,进行简化后建立了三自由度的数学模型,对该模型进行了计算求解。将其结果与二自由度模型计算结果对比后得出：三自由度与二自由度模型均可得到稳、瞬态响应和结构参数的关系,便于分析;三自由度模型设计参数多、计算复杂,但结果精度高。     

基于龙格-库塔算法的车辆行驶状态研究

针对线性车辆模型不能够较为真实地反映车辆实际运动状态等问题,提出三自由度的非线性车辆模型,运用龙格-库塔算法对微分方程进行求解,并对求解结果进行分析,结果显示所得数值解与车辆实际行驶状态相吻合。     

基于无迹卡尔曼的分布式电动汽车状态估计

为了较准确地获取分布式电动汽车的状态信息,满足汽车稳定性控制的要求,文章以三自由度车辆动力学模型为基础,建立了基于无迹卡尔曼滤波的分布式电动汽车状态观测器,对双移线工况下分布式汽车的纵横向车速、横摆角速度、质心侧偏角进行了预测估计。     

车辆座椅悬架对舒适性改善的仿真分析

在MATLAB/Simulink平台下,利用滤波白噪声模拟路面不平度幅值信号,采用M-FileS-函数编程方法重构时域路面不平度模型,并以此作为车辆振动系统的输入进行仿真分析;分别以人体-车辆二自由度振动系统和人体-座椅-车辆三自由度振动系统为研究对象,对传至人体的加速度值进行仿真分析。结果表明,对工程车辆而言,座椅悬架对于改善驾驶员乘坐舒适性的效果明显,依据文中思路可以进一步进行座椅悬架参数的设计计算及优化。     

基于车身三自由度模型的EPS系统微分方程

电动助力转向系统(简称EPS)的应用越来越为人们所关注。EPS系统是一个复杂的非线性动力学系统,也是一个离散事件与连续动态事件并存的复杂系统。为更好进行EPS系统的控制策略设计,需要对EPS系统建立数学模型。传统的EPS数学模型大多基于车身二自由度模型建立,这样会造成数据的缺失以及模型的准确度下降。本文基于车身三自由度建立了EPS系统的数学模型,列出了微分方程,为求解EPS系统控制策略提供了参考。     

基于中心差分卡尔曼滤波的车速估计研究

针对车辆行驶过程中车速估计问题,论文基于中心差分卡尔曼滤波理论设计了车速的估计算法。建立了非线性三自由度车辆估算模型,根据纵向加速度、侧向加速度和方向盘转角低成本传感器信号的信息融合,实现对车速的准确估计,应用CarSim与Matl ab/Simulink联合仿真实验对算法进行验证。结果表明:估计算法能够准确估计车辆行驶过程中的纵向车速、侧向车速和质心侧偏角。     

基于BP神经网络的路面不平度识别

将BP神经网络作为识别路面不平度的工具,确定了用于识别的评价指标。建立了前后轮路面不平度滤波白噪声模型和汽车平顺性4 自由度平面模型,通过仿真获得车辆响应和前后轮路面不平度,作为BP 神经网络的输入和输出。采用3 层BP 神经网络识别路面不平度,先后构造了44 种车辆响应输入方案进行训练和测试,通过评价指标选出最优输入方案。研究结果表明,在车辆行驶的常用路面和车速条件下,识别前后轮路面不平度的最优输入方案由车轮垂直加速度、车轮垂直位移和悬架动挠度组成。     

考虑邻板高程差的装配式水泥路面行驶舒适性研究

为了研究装配式路面板的预制与安装误差所导致的板块间高程差对行驶舒适性的影响,从而为装配式水泥路面板的尺寸设计和施工控制提供参考.采用了模型仿真的方法,以座椅加权加速度均方根值作为评价指标,在四自由度1/2车模型的基础上,增加座椅质心竖向位移作为一个自由度,建立五自由度1/2车模型.采用Newmark-β法对该模型进行求...     

油气弹簧非线性特性对车辆平顺性的影响分析

推导并建立了某工程车辆油气弹簧的非线性刚度和阻尼特性的数学模型，并将其导入到车辆模型中。根据汽车悬架质量分配特点．将汽车简化为两自由度的舣质量振动系统，对此两自由度模型的车轮加速度、车身加速度和悬架动行程进行了仿真从仿真结果可以看出，非线性油气弹簧能很好地衰减由路面传递来的振动。分析了刚度和阻尼的变化对车辆平顺性的影响。     

电动助力转向硬件在环试验台的研究

介绍了自主研发的电动助力转向硬件在环试验台的软硬件构成及工作原理,采用三自由度车辆动力学模型,永磁同步电机采用直接转矩控制（DTC）模式,驱动滚珠丝杠实时模拟转向阻力,该试验台可以用于转向系统硬件的开发、系统试验及性能评价。     

基于MATLAB/SIMULINK的车轮外倾角对车辆高速转向稳定性的影响研究

基于Matlab/Simulink建立了考虑汽车车身侧倾转向的3自由度仿真模型,研究了车轮外倾角对汽车高速转向稳定性的影响。结果表明前轮正外倾角、后轮负外倾角有利于提高转向稳定性,特别是在大转角的危险工况可以避免发生侧滑和侧翻。     

Control of Longitudinal and Lateral Platoon Using Sliding Control

SUMMARY

This paper initially introduces a vehicle model that can be utilized for simulation tests in the field of AVCS studies. This model contains the non-linear elements of the engine, the torque converter, the automatic gear shift and the tire. The vehicle model has 3 degrees of freedom and it can be used for multiple vehicle simulations in AVCS as well as in ATIMS. This paper applies the model to the study and analysis of vehicle “platooning” for automated driving. In this paper, it is shown that platooning can be realized both longitudinally and laterally by the application of the sliding control.     

Quasi steady-state aerodynamic model development for race vehicle simulations

Presented in this paper is a procedure to develop a high fidelity quasi steady-state aerodynamic model for use in race car vehicle dynamic simulations. Developed to fit quasi steady-state wind tunnel data, the aerodynamic model is regressed against three independent variables: front ground clearance, rear ride height, and yaw angle. An initial dual range model is presented and then further refined to reduce the model complexity while maintaining a high level of predictive accuracy. The model complexity reduction decreases the required amount of wind tunnel data thereby reducing wind tunnel testing time and cost. The quasi steady-state aerodynamic model for the pitch moment degree of freedom is systematically developed in this paper. This same procedure can be extended to the other five aerodynamic degrees of freedom to develop a complete six degree of freedom quasi steady-state aerodynamic model for any vehicle.     

基于模糊控制的车辆弯道防抱制动系统仿真分析

建立了8自由度的非线性汽车弯道行驶整车模型,在此模型基础上,采用模糊控制理论,分别对车速与轮速的变化、车轮载荷转移的变化以及制动器制动力矩的变化进行计算机仿真。仿真结果表明,采用模糊控制可以达到很好的制动控制效果。     

A study on a dynamic model of a vehicle simulator with 6 DOF for the Korean tilting train

This article presents a dynamic model of a railway vehicle for the development of a 6-DOF (degrees of freedom) tilting-train simulator. It will be used to verify the tilting-electronics and tilting-control algorithm that are to be applied to the Korean tilting train. It is composed of 6 electrically driven actuators, a track generation system, a graphic user interface, and a visualization system with a 1600-mm-diameter dome screen. Each system shares the data by means of Ethernet network in real time. In this study, a train model of 9-DOF with a force generation system to tilt the train body has been used. Dynamic analysis for the straight track running and curve negotiation of a railway vehicle can be performed in the model. A verification study for the application of the model to the simulator has been conducted on curving tracks with different radii.     

基于Simulink的轮边驱动电动车振动分析与仿真

为解决轮边驱动电动车安全性和平顺性低的问题,文章以基于吸振原理的轮边驱动电动车垂向3自由度系统为例,运用机械振动学原理建立动力学微分方程,采用状态空间法将此系统的微分方程转化为便于Matlab/Simulink软件仿真的模型。通过分析和仿真可以直接获得轮边驱动电动车沿垂直地面方向的运动曲线图,在正弦激励作用下,动力吸振器、车轮及车身均作周期性运动。将机械振动学和Simulink软件相结合能够准确方便地对轮边驱动电动车的振动进行分析与仿真,为处理类似的汽车振动系统仿真提供了参考。     

汽车稳定性控制系统的研究与仿真

在线性二自由度车辆模型基础上,采用直接横摆力矩控制方法,选取质心侧偏角和横摆角速度作为稳定性控制系统的主控变量,设计了三种具有针对性的基于滑模变结构理论的车辆操纵稳定性控制策略——质心侧偏角、横摆角速度和两者联合的滑模变结构控制。在Matlab,Simulink平台上,对三种汽车稳定性控制策略的具体应用进行仿真分析,验证了所设计稳定性控制算法的有效性和鲁棒性。     

An Extended Adaptive Kalman Filter for Real-time State Estimation of Vehicle Handling Dynamics

This paper considers a method for estimating vehicle handling dynamic states in real-time, using a reduced sensor set; the information is essential for vehicle handling stability control and is also valuable in chassis design evaluation. An extended (nonlinear) Kalman filter is designed to estimate the rapidly varying handling state vector. This employs a low order (4 DOF) handling model which is augmented to include adaptive states (cornering stiffnesses) to compensate for tyre force nonlinearities. The adaptation is driven by steer-induced variations in the longitudinal vehicle acceleration. The observer is compared with an equivalent linear, model-invariant Kalman filter. Both filters are designed and tested against data from a high order source model which simulates six degrees of freedom for the vehicle body, and employs a combined-slip Pacejka tyre model. A performance comparison is presented, which shows promising results for the extended filter, given a sensor set comprising three accelerometers only. The study also presents an insight into the effect of correlated error sources in this application, and it concludes with a discussion of the new observer's practical viability.     

汽车操纵稳定性与前轮摆振的非线性仿真分析

以某轿车为例,建立3自由度整车系统动力学模型,利用常微分方程稳定性理论和数值仿真计算,详细研究整车的稳态转向特性和系统失稳后的前轮摆振特性。阐明汽车的操纵稳定性与前轮摆振特性同属汽车整车稳定性问题,前者是负刚度系统,后者是负阻尼系统。在一定的参数组合下,具有不同转向特性的汽车都或多或少地存在摆振现象,这与实际情况相符,建议适当增加转向系阻尼和刚度以减小甚至消除摆振的发生。     

Implementation and validation of a three degrees of freedom steering-system model in a full vehicle model

This paper describes the coupling between a three degrees of freedom steering-system model and a multi-body truck model. The steering-system model includes the king-pin geometry to provide the correct feedback torque from the road to the steering-system. The steering-system model is combined with a validated tractor semi-trailer model. An instrumented tractor semi-trailer has been tested on a proving ground and the steering-wheel torque, pitman-arm angle, king-pin angles and drag-link force have been measured during steady-state cornering, a step steer input and a sinusoidal steering input. It is shown that the steering-system model is able to accurately predict the steering-wheel torque for all tests and the vehicle model is accurate for vehicle motions up to a frequency where the lateral acceleration gain is minimum. Even though the vehicle response is not accurate above this frequency, the steering-wheel torque is still represented accurately.