油气弹簧可调阻尼阀系设计及特性试验

基于某型车辆参数,设计了一种采用电磁阀控制的阻尼可调油气弹簧,并对其结构与T作原理进行了分析.按照车辆悬架最佳阻尼匹配要求.利用开阀流量、压差和阀开度之间的关系建立了油气弹簧可调阻尼阀系参数模型;利用薄壁小孔节流理论得到了油气弹簧节流孔的设计方法.对油气弹簧可调阻尼阀系参数进行设计并进行了阻力特性试验.结果表明,该油气弹簧可调阻尼阀系参数设计方法正确,通过电磁阀组合控制实现阻尼三级可调效果明显.     

外置串联阀式阻尼可调油气弹簧研究

对外置串联阀式阻尼可调油气弹簧的基本结构和工作原理进行了分析;建立了以阻尼阀结构数据为参数的阻尼力算法模型。通过对BJ2020JC改装后的油气弹簧进行理论分析和台架试验,结果表明该模型可用于指导阻尼可调油气弹簧的设计。     

油气弹簧阀系参数设计及特性试验

根据车辆悬架最佳阻尼匹配要求,利用开阀流量、压力和阀片变形之间的关系,建立基于车辆参数的油气弹簧阀系参数设计公式.利用等效厚度和应力计算公式,建立了油气弹簧叠加阀片和调整垫圈厚度设计方法.通过实例,对油气弹簧阀系参数进行了设计,对设计参数进行验证,并对所设计油气弹簧进行了阻力特性试验.结果表明,基于车辆参数的油气弹簧阀系参数设计方法是正确的,对油气弹簧设计具有一定参考价值.     

带反压气室油气弹簧悬架的研究

介绍了带反压气室油气弹簧悬架的结构、工作原理、弹性特性、刚度特性、自由振动频率特性及阻尼特性等,并通过台架性能试验、装车性能试验及振动加速度测试,证明了这种油气弹簧性能稳定可靠,寿命长,减振性能好.     

动力总成磁流变悬置的动态特性分析

以某动力总成悬置为研究对象建立力学模型,推导出磁流变悬置在低频工况和高频工况下动刚度与阻尼角的表达式,运用Matlab软件对磁流变悬置的动态特性进行仿真,并进行了试验验证。通过仿真分析了磁流变悬置的橡胶主簧等效面积、阻尼可控通道的长度、磁流变悬置的上液室体积柔度、磁流变液零场粘度等结构参数的变化对悬置动态特性的影响,为磁流变悬置的设计提供参考。     

斜拉索磁流变智能阻尼控制系统分析与设计

在结构主动、半主动和智能控制系统优化设计方法的基础上,研究了斜拉索磁流变智能阻尼控制系统的设计方法,并采用所建立的设计方法完成了山东滨州黄河公路大桥斜拉索磁流变智能阻尼减振系统的优化设计。采用限界HROVAT最优控制算法确定磁流变阻尼器的半主动控制力,数值计算了斜拉索磁流变阻尼控制系统的风振反应。进一步分析比较了主动控制、半主动控制、Passive-on被动控制和Passive-off被动控制策略下的磁流变阻尼器控制斜拉索风致振动的控制效果,验证了磁流变阻尼器优化设计方法的正确性和磁流变阻尼器控制策略的有效性。     

适用于车辆的旋转式磁流变阻尼器研究

提出一种旋转式磁流变阻尼器,旋转式磁流变部件(磁流变离合器)产生阻尼矩,前端整合的一套转换往复直线运动为阻尼盘片旋转运动的滚动螺旋机构将阻尼转矩变成阻尼器的可调阻尼力。实验和计算表明这种阻尼器能适用于汽车阻尼减振场合。     

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。     

汽车磁流变半主动座椅悬架动态特性的试验研究

为进一步提高汽车的乘坐舒适性,研发了一种汽车座椅半主动悬架用磁流变减振器,并对其进行阻尼特性试验,通过分析其受力情况,建立了汽车半主动座椅悬架动力学模型,设计了用于座椅磁流变半主动悬架的天棚控制策略,并在随机和正弦激励输入下进行了座椅天棚控制仿真计算,试制了磁流变半主动座椅物理样机及试验台架系统,开展了磁流变半主动座椅悬架的台架试验研究。结果表明,理论仿真和试验结果基本吻合,磁流变减振器阻尼可控性好;相对于被动座椅悬架,采用磁流变半主动座椅悬架后,座椅动态性能改善了30%左右,磁流变半主动座椅悬架减振效果显著。     

汽车磁流变减振器设计中值得注意的若干技术问题

汽车磁流变减振器利用磁流变液的流变特性可受外加磁场控制的特性，实现减振器的阻尼系数的可控，从而实现阻尼力的控制，基于磁流变换的磁流变减振器的特性是由多种因素所决定的，如磁流变液、工作模式、磁路结构、导磁材料、线圈和机械结构等。对磁流变液的性能、阻尼通道的设计、磁路中磁芯材料的选用以及磁流变减振器的体积补偿等在磁流变减振器设计中值得注意的一些问题进行了探讨。     

摩托车磁流变阻尼器的设计研究

磁流变液是一种新型智能材料,属于可控流体,具有在外加磁场作用下快速可逆地改变流变性能的特点.选择剪切阀式作为阻尼器的工作模式,对磁流变阻尼器的磁路进行设计,优化了磁流变阻尼器的结构参数,并根据理论分析选择阻尼器的结构尺寸,设计制作了单出杆磁流变阻尼器.     

Control system synthesis of seat suspensions used for protection of working machine operators

This paper deals with a novel approach to the control system synthesis of semi-active and active seat suspensions. An original control strategy is discussed in order to increase the effectiveness of vibration isolators used for protection of working machines operators. As an example of the proposed control system design, the suspension systems with a magneto-rheological damper and a pneumatic spring are investigated using a laboratory experimental set-up with seated humans.     

Hardware-in-the-loop simulation experiment for semi-active vibration control of lateral vibrations of railway vehicle by magneto-rheological fluid damper

The active lateral suspension (ALS) of a train consists of either active or semi-active technologies. However, such an active system on a real railway vehicle is not easy to test because of cost and time. In this study, a hardware-in-the-loop simulation (HILS) system is developed to test the ALS. To this end, the dynamic model of a railway vehicle is equipped with the actuator, two bogies and four-wheel sets, and the ALS is used. The proposed HILS system consists of an alternating current servo motor connected to a ball-screw mechanism and a digital control system. The digital control system implements the dynamic model and the control algorithm. The design and manufacture of the HILS system are explained in detail. Both the passive damper and the magneto-rheological (MR) fluid damper are tested using the HILS system, where the sky-hook control algorithm was applied for the MR fluid damper. Experimental results show that the proposed HILS system can be effectively used for the performance estimation of the ALS.     

一种用于车辆半主动悬架控制的磁流变阻尼器模型

文中对适用于车辆半主动悬架控制器设计的磁流变阻尼器模型进行研究.首先分析阻尼力与位移、速度以及输入电流之间的关系,并结合现有阻尼器模型的优点,提出一种精确的便于控制的双曲正切磁滞模型.接着,将磁流变阻尼器安装在硬件在环仿真平台上进行试验,利用试验得到的阻尼器动态特性数据,进行阻尼器模型的参数辨识和曲线拟合.最后,将基于拟合参数的模型仿真结果与试验数据进行比较,验证了模型的正确性.     

Design of a Predictive Semiactive Suspension System

In this paper we present an original design procedure for semiactive suspension systems. Firstly, we consider a target active control law that takes the form of a feedback control law. Secondly, we approximate the target law by controlling the damper coefficient f of the semiactive suspension. In particular, we examine two different kinds of shock absorbers: the first one uses magneto-rheological fluid instead of oil, while the second one is a solenoid valve damper. In both cases the nonlinear characteristics force-velocity of the damper are used to approximate the target law. To improve the efficiency of the proposed system, we take into account the updating frequency of the coefficient f and compute the expected value of f using a predictive procedure. We also address the problem of designing an asymptotic state observer that can be used not only to estimate the current state but also to predict the value that the state will take at the next sampling time.     

Design of a Predictive Semiactive Suspension System

In this paper we present an original design procedure for semiactive suspension systems. Firstly, we consider a target active control law that takes the form of a feedback control law. Secondly, we approximate the target law by controlling the damper coefficient f of the semiactive suspension. In particular, we examine two different kinds of shock absorbers: the first one uses magneto-rheological fluid instead of oil, while the second one is a solenoid valve damper. In both cases the nonlinear characteristics force-velocity of the damper are used to approximate the target law. To improve the efficiency of the proposed system, we take into account the updating frequency of the coefficient f and compute the expected value of f using a predictive procedure. We also address the problem of designing an asymptotic state observer that can be used not only to estimate the current state but also to predict the value that the state will take at the next sampling time.     

Inverse neuro-fuzzy MR damper model and its application in vibration control of vehicle suspension system

In this paper, a magneto-rheological (MR) damper-based semi-active controller for vehicle suspension is developed. This system consists of a linear quadratic Gauss (LQG) controller as the system controller and an adaptive neuro-fuzzy inference system (ANFIS) inverse model as the damper controller. First, a modified Bouc–Wen model is proposed to characterise the forward dynamic characteristics of the MR damper based on the experimental data. Then, an inverse MR damper model is built using ANFIS technique to determine the input current so as to gain the desired damping force. Finally, a quarter-car suspension model together with the MR damper is set up, and a semi-active controller composed of the LQG controller and the ANFIS inverse model is designed. Simulation results demonstrate that the desired force can be accurately tracked using the ANFIS technique and the semi-active controller can achieve competitive performance as that of active suspension.     

基于磁流变阻尼器的半主动车辆座椅悬架模糊控制研究

设计基于磁流变阻尼器的半主动车辆座椅悬架系统的模糊控制器。用ADAMS对系统建立三维多刚体动力学模型,用MATLAB设计系统模糊控制器,并联合两者对整个系统进行仿真。仿真和台架试验结果表明,模糊控制策略能使该系统较好抑制垂直振动加速度,提高乘坐的舒适性。     

阻尼式气弹簧及其在散热器面罩中的布置设计

阻尼式气弹簧广泛应用于汽车行业中。本文对阻尼式气弹簧的结构、工作原理及安装类型进行了详细介绍.据此,以散热器面罩开起装置设计为例,讨论了阻尼式气弹簧的布置与支撑力计算的设计过程。     

Decentralized neuro-fuzzy control for half car with semi-active suspension system

In this paper, a decentralized neuro-fuzzy controller has been created in order to improve the ride comfort and increase the stability for half car suspension system, which used the magneto-rheological damper as a semi-active device. Firstly, relative gain array and relative disturbance gain methods have been used for deriving a relation between inputs, disturbances and outputs to select pairing with minimum interaction to design a decentralize controller. Secondary, decentralized neuro-fuzzy controllers for front and rear chassis are designed to predict the required damping force taking the acceleration of the sprung mass and desired acceleration obtained by using pole-placement method as inputs. To predict the control voltage required for producing the force predicted by the controller, the inverse neuro-fuzzy model of MR damper has been designed. Simulation by using MATLAB programs has been created. The results show that the ride comforts and vehicle stability have been improved in comparison with the passive system.