兼顾平顺性和路面损伤的货车悬架特性优化

为探讨双桥货车动力学特性兼顾平顺性和路面损伤的优化方法,建立了车辆动力学模型,用总加权值法求解车体加速度均方根以评价车辆平顺性,用全概率法评价车辆对路面的损伤,构造了包括目标泛函、设计变量和约束条件的悬架参数优化设计模型。对FAW110货车前后悬架阻尼和刚度优化后,路面损伤和平顺性分别改善6．2％和29％。     

汽车半主动空气悬架自适应模糊神经网络控制

考虑空气悬架弹簧刚度可调的特性,建立了车辆5自由度的半主动悬架非线性动力学模型.提出了一种基于自适应模糊神经网络系统结构的模型,参考自适应控制方法来研究汽车半主动空气悬架的非线性控制问题,并考虑半车模型前后悬架的输入时滞,对其进行了仿真分析.研究结果表明:该控制方法能够使人体垂直加速度、车身垂直加速度和俯仰角加速度都得到很大的衰减,可在一定程度上减少路面对车身的振动冲击,提高汽车的行驶平顺性.     

汽车主动悬架H2/H∞多目标优化控制

为协调主动悬架各项相互冲突的性能,采用基于H₂/H_∞混合控制进行约束优化,解决半车电液主动悬架系统多目标优化控制问题。选择路面扰动到悬架质量垂直加速度和俯仰角加速的闭环传递函数的H₂范数为平顺性指标,路面扰动到悬架动行程、主动控制力和轮胎动位移的闭环传递函数的H_∞范数为操纵稳定性指标,选择合理的γ₁值,最终求出全状态最优控制律。仿真中假设平整路面上有一个包块,作为路面扰动脉冲输入,将该控制方案与半车被动悬架的时域仿真结果进行对比。结果表明该方案较好地解决了舒适性与操纵稳定性指标之间的矛盾。     

具有LQG控制器的主动悬架半车模型动力学分析与仿真

基于达朗贝尔原理建立半车主动悬架动力学模型,采用最优控制理论进行主动悬架LQG控制器设计.在Matlab/Simulink中建立对应的系统仿真模型,采用白噪声路面输入后进行该系统动态特性仿真,并将主、被动悬架特性进行对比分析.仿真结果表明,相对于被动悬架主动悬架性能有明显改善.     

主动悬架改善重型车辆性能的仿真研究

仿真研究主动悬架改善重型车辆的平顺性和对路面的损伤。在主动悬架最优控制中采用了相对自由度状态向量，控制更容易实现；建立重型车辆装载主动悬架或被动悬架时的动力学模型，计算车辆路面作用力、车体加速度的统计特性，并加以比较。重型车辆装载预瞄全状态反馈主动悬架后与原被动悬架相比，对路面损伤降低了23％～27％，尤其是车辆平顺性改善了90％以上。     

车辆主动悬架耗散状态反馈控制器设计与仿真

通过建立1／4车辆模型和路面输入模型,应用耗散系统理论进行了车辆主动悬架严格（Q,S,R）-耗散状态反馈控制器的设计,并在Matlab／Simulink环境中建立系统模型并进行仿真研究,将主、被动悬架的车身加速度、悬架动行程和轮胎动位移3项指标进行了对比分析。仿真结果表明,具有严格耗散控制器的主动悬架对车辆乘坐舒适性和行驶平顺性的改善有良好的效果。     

基于ADAMS的汽车平顺性建模与仿真分析

以某SUV汽车为研究对象,运用机械系统多体动力学仿真软件ADAMS/Car建立了包括前后悬架、轮胎、车身和转向系等子系统在内的整车仿真模型;根据谐波叠加法建立B、C级随机输入路面,按照国家标准建立三角形凸块脉冲输入路面,并分别进行汽车平顺性仿真.通过计算随机输入下汽车总加权加速度均方根值和脉冲输入下车身最大垂向加速度,对汽车平顺性进行评价,研究了悬架弹簧刚度对汽车平顺性的影响.结果表明:B、C级随机输入路面下该车具有较好的平顺性,脉冲输入路面下对乘员的健康不会产生危害;降低悬架弹簧刚度可以改善汽车的行驶平顺性.     

基于电液比例阀减振器半主动悬架系统的研究

为提高汽车的平顺性和操纵稳定性,设计了以电液比例阀半主动减振器为控制对象,采用自适应神经网络控制方法的半主动悬架系统。在对电液比例阀减振器阻尼力变化规律进行分析的基础上,建立了基于电液比例阀减振器的半主动悬架模型,采用神经网络自适应控制方法对模型进行了研究。路面输入采用积分白噪声模拟B级路面谱,以簧载质量垂向加速度、悬架动行程以及轮胎动载荷作为评价指标。利用Matlab/Simulink工具箱进行仿真,结果表明,设计的半主动悬架与被动悬架相比,其平顺性与稳定性均得到了良好的改善。     

基于AMESim的工程车辆液压悬架系统仿真

为研究液压悬架系统中各主要参数对控制车体垂直位移的影响,在建立的单轮1/4车液压悬架数学模型基础上,运用AMESim软件进行了1/4车液压悬架建模与仿真分析.通过仿真,将液压缸和伺服阀不同规格参数对液压悬架在阶跃激励下车体垂直位移的影响结果进行了比较,结果表明,AMESim在液压悬架系统仿真中的有效性为整车液压悬架仿真研究提供了参考.     

基于虚拟样机的空气弹簧悬架轿车行驶平顺性研究

应用ADAMS/Car建立空气弹簧悬架整车动力学模型,在ADAMS/Car_Ride试验台上分别进行空载和满载时随机路面下的汽车平顺性试验。根据试验数据分别对座椅响应进行时域和频域分析,得到座椅各轴向加权加速度均方根值,并与相同激励下的普通螺旋弹簧悬架系统进行平顺性对比。对比分析结果表明:无论是空载还是满载,匹配空气弹簧悬架系统轿车的各轴向以及总加权加速度均方根植均小于普通螺旋弹簧悬架轿车,很好地改善汽车的行驶平顺性。     

Simulation and analysis of a Truck Model＇s ride comfort based on fuzzy adaptive control theory

This paper tried to analyse and verify the fuzzy adaptive control strategy of electronic control air suspension system for heavy truck. Created the seven-freedoms vehicle suspension model, and the road input model; with Matlab/Simulink toolboxes and modules, built dynamical system simulation model for heavy truck with air suspension, fuzzy adaptive control model, height control model for air spring, and intelligent control and analyse on root mean square value of acceleration of gravity center of the vehicle under excitation of road. Results show that the fuzzy control had less help to the body vibration on the better pavement, but had the better benefit on the bad road, and the vehicle＇ s root mean square value of acceleration of gravity center is less than passive suspension＇ s obviously.     

Fuzzy Logic Control for Semi-Active Suspension System of Tracked Vehicle

The model of half a tracked vehicle semi-active suspension is established. The fuzzy logic controller of the semi-active suspension system is constructed. The acceleration of driver‘s seat and its time derivative are used as the inputs of the fuzzy logic controller, and the fuzzy logic controller output determines the semi-active suspen-sion controllable damping force. The fuzzy logic controller is to minimize the mean square root of acceleration of the driver‘s seat. The control forces of controllable dampers behind the first road wheel are obtained by time delay, and the delay times are determined by the vehicle speed and axles distances. The simulation results show that this control method can decrease the acceleration of driver‘s seat and the suspension travel of the first road wheel,the ride quality is improved obviously.     

Analyses and Simulation of Fuzzy Logic Control for Suspension System of a Track Vehicle

The vibration caused by terrible road excitation affects the ride quality and safety of track vehicles.The vibration control of suspension systems is a very important factor for modern track vehicles.A fuzzy logic control for suspension system of a track vehicle is presented.A mechanical model and a system of differential equations of motion taking account of the mass of loading wheel are established.Then the fuzzy logic control is applied to control the vibration of suspension system of track vehicles for sine signal and random road surfaces.Numerical simulation shows that the maximum acceleration of suspension system can be reduced to 44% of the original value for sine signal road surface,and the mean square root of acceleration of suspension system can be reduced to 21% for random road surface.Therefore,the proposed fuzzy logic control is an efficient method for the suspension systems of track vehicles.     

Neuron PI control for semi-active suspension system of tracked vehicle

A neuron proportion integration (PI) control strategy for semi-active suspension system of tracked vehicle was proposed based on its unique structure and the multiple and complex environment of the driving traffic. An adaptive genetic algorithm is used to optimize the parameters of the neuron PI controller. The simulation result of the neuron PI control for semi-active suspension system of tracked vehicle indicates that the vertical amplitude, pitch angle and vertical acceleration of the vehicle are well controlled. The root mean square (RMS) of the vertical amplitude decreases by 37.2%, and 45.2% for the pitch angle, 38.6% for the vertical acceleration. The research of neuron PI control experiment for the semi-active suspension system of the tracked vehicle model mining in benthal indicates that the RMS of the weight acceleration vibrating along the vertical direction decreases by 29.5%, the power spectral density resonance peak of the acceleration of the car body decreases by 23.8%.     

神经网络控制在汽车主动悬架中的应用

建立了汽车悬架的两自由度1/4车数学模型,提出了一种基于RBF神经网络在线辨识的单神经元PID自适应控制方法,介绍了RBF网络在线辨识、单神经元PID控制器和控制算法,并将这种控制策略应用于汽车主动悬架1/4车模型.仿真是在Windows2000环境下用仿真软件Mat-lab6.1 Simulink进行的.仿真结果表明,这种控制策略能有效降低车身加速度的均方根值和悬架动挠度的均方根值,改善了乘坐的舒适性.     

整车刚柔耦合建模及随机激励下的平顺性分析

基于多体动力学理论、有限元及模态综合法,建立了某轿车的整车刚柔耦合动力学模型,其中包括前悬架、转向系等刚体子系统及后悬架柔体子系统.建立B级随机路面模型,采用该数字化试验道路对整车的平顺性进行仿真计算,得到不同车速下的车身质心处垂向加速度以及驾驶员座椅坐垫上方、座椅靠背以及脚支撑面处的加权加速度均方根值.结果表明,所建的刚柔耦合整车模型正确,该轿车的平顺性良好.     

Development of a Composite Suspension with a Coil and Hydro-Pneumatic Spring

A new composite suspension is developed, where a coil spring and a hydro-pneumatic spring are used in order to improve the poor reliability of off-road vehicle with pure hydro-pneumatic suspension. According to road conditions, the two springs play different roles. The method for matching the composite suspension stiffness and distributing the load is proposed. The working pressure of hydro-pneumatic spring as well as the load and stiffness characteristics of composite suspension is compared with a pure hydro-pneumatic suspension. In addition, the ISO weighted vehicle body acceleration, suspension travel and relative dynamic load of the wheels between two kinds of suspension are analyzed with a quarter vehicle mode. The simulation result shows that the developed composite suspension is more suitable for off-road vehicle than the one hydro-pneumatic suspension, because the composite suspension can reduce the working pressure, improve the reliability and keep a similar ride comfort with hydro-pneumatic suspension.     

Experimental study on wheeled vehicle hydro-pneumatic suspension fault detection

A four-channel MTS road simulation system, which is used to regenerate the acceleration signal at the axle head is presented. A new fault detection method is proposed, which is based on the remote parameter control (RPC) technology for vehicle hydro-pneumatic suspension system. The transfer function between the drive signals and the axle head acceleration should be identified before the RPC iterative calculation on a computer. By contrasting with the desired frequency response functions (FRF), excited through the sample spectrum of road, the iterative convergence speed of the drive function and weighted error are used to detect faults existing in the vehicle''s suspension. Experimental results show that during the process of regeneration of the acceleration signal at the axle head, the characteristics of failure of the hydro-pneumatic spring are changed randomly resulting in a dramatic increase in calculation of the RPC iterative, which enables relatively large iterative convergence errors. This method can quickly detect and locate a suspension fault and is a simple bench test way in suspension fault detection.     

基于键合图的整车转向振动仿真

基于键合图理论建立了某车整车转向模型,采用滤波白噪声作为路面输入,进行了侧向加速度为6.67m/s2时的转向仿真,通过对车身垂直加速度、俯仰角和侧倾角仿真结果的分析,对原车悬架系统进行了优化.     

Torsional stiffness modeling and optimization of the rubber torsion bushing for a light tracked vehicle

Taking the rubber torsion bushing of a certain type of all-terrain tracked vehicle as the research object, a theoretical model of torsional stiffness was proposed according to the non-linear characteristics of rubber components and structural feature of the suspension. Simulations were carried out under different working conditions to obtain root mean square of vertical weighted acceleration as the evaluation index for ride performance of the all-terrain tracked vehicle, with a dynamics model of the whole vehicle based on the theoretical model of the torsional stiffness and standard road roughness as excitation input. Response surface method was used to establish the parametric optimization model of the torsional stiffness. The evaluation index showed that ride performance of the vehicle with optimized torsional stiffness model of suspension was improved compared with previous model from experiment. The torsional stiffness model of rubber bushing provided a theoretical basis for the design of the rubber torsion bushing in light tracked vehicles.