基于MC9S08GB60的汽车电控悬架控制系统设计

对空气悬架的控制是提高车辆行驶平顺性的有效方法。以MC9S08GB60为控制芯片,以YBL6891H型客车的1/4车辆模型为研究对象,设计了一种客车用空气悬架的电子控制单元。该控制单元通过调整空气弹簧的刚度,降低车身垂直加速度,并采用模糊PID控制算法,提高控制精度。试验表明:该电子控制单元能有效降低车身垂直加速度,在改善车辆行驶平顺性的同时,提高了操纵稳定性。     

基于模型预测的客车侧翻控制方法

为提高客车侧翻稳定性，解决单独差动制动控制效果不稳定的问题，提出了一种基于模型预测控制的主动转向/差动制动联合控制方法。针对计算侧翻指标LTR难度较大的问题，建立了无迹卡尔曼滤波(Unscented Kalman Filter, UKF)状态参数估计器对LTR值进行估计。基于模糊控制理论设计了主动转向、差动制动下层控制器。通过TruckSim/Simulink联合仿真平台对客车在鱼钩试验和阶跃试验典型工况下进行了仿真分析，结果表明，设计的MPC控制器相比单独差动制动控制具有更好的控制效果和控制稳定性。     

基于单周控制的三相桥式双频逆变器仿真研究

研究了基于双频的三相桥式逆变器拓扑结构,该拓扑由两个传统的三相桥式逆变器级联而成,其中一个工作在低频状态,另一个工作于高频状态,两单元功能相对分离。对高频单元采用单周控制,对低频单元采用电流滞环控制,利用Matlab/Simulink建立了仿真模型。仿真结果表明,该拓扑对降低开关损耗、电流总谐波畸变率、提高系统响应速度具有很好的作用。     

移动机器人动力学控制半物理仿真研究

为了方便进行移动机器人的动力学控制方法验证,提出一种基于Quanser Q8卡、QuaRC开发环境、工业机电驱动单元IMDU和Matlab/Simulink的半物理实时仿真实现方法.利用IMDU模拟移动机器人的动力学系统,以Q8卡作为仿真模型与物理模型之间交互的桥梁,在Simulink上结合QuaRC,并通过C MEXS函数保证系统动态参数的传递及Matlab/RTW仿真环境的高效运行,实现对整个系统的软件控制.对半物理仿真系统的轨迹跟踪控制试验表明该方法的有效性.     

新型动态矩阵控制与先进PID控制的对比研究

由于预测控制对模型的选择比较宽泛,可以选择非参数模型,如阶跃响应模型为预测模型。利用预测控制的该优点,论文基于多变量动态矩阵控制思想,建立了一种新型单元机组负荷控制系统。利用该控制系统对负荷控制进行控制仿真,将控制结果与优化的先进PID控制进行对比。对比结果表明,该控制系统负荷响应速度较快,压力波动较小,控制效果良好。     

电液控制单元控制线圈的温度预测建模与仿真

针对电液控制单元中控制阀的线性控制导致控制线圈的温升并影响控制阀控制性能的问题,建立了一种控制线圈的温度预测模型,以期达到控制线圈的耐温性诊断和提高控制阀控制性能的目的。该模型利用了能量守恒定律,利用最小二乘法对该模型参数进行了最优化,同时根据控制阀的实际控制指令来验证该模型对控制线圈的温度诊断性能和控制阀的控制性能。其仿真结果表明,该模型可以有效地预测出控制线圈温度变化,这将简化电液控制单元的硬件结构,同时为诊断控制线圈的耐温性和提高控制阀的控制性能提供有利的依据。     

基于LabVIEW的机械臂控制与仿真系统

基于LabVIEW的机械臂控制与仿真系统利用三维参数曲面图形显示控件对机械臂进行静态建模和动态仿真;使用NIUSB₆211数据采集卡作为机械臂的控制单元;采用软件编程的方式解决了仿真模型与实际模型同步运行及舵机平滑转动等问题。     

异构多网HTTP/2能量成本控制视频流传输模型

考虑异构无线网和成本约束下的移动设备能源消耗,提出异构网络HTTP/2能量成本控制的多网视频流传输模型。相对于传统流媒体自适应模型,增加参数控制单元、跨层网络监控单元和重新排序单元,采用HTTP/2传输协议,设计视频流传输模型,实现多无线网络视频段传输;为降低设备能耗,设计HTTP/2协议下的能量成本函数,对模型参数选取过程进行设计。仿真结果表明,所提模型具有更高视频加载效率和能量节省能力,对数据丢包具有抑制能力。     

新型伺服控制系统的建模仿真与分析

分析了伺服控制系统的工作原理,提出一种新型伺服控制系统建模方法。在Matlab/Simulink环境下采用模块化的方法构建了系统的仿真模型,系统采用双闭环控制,并对该模型进行了仿真。仿真结果表明,该系统具有良好的动态和静态特性,验证了该方法的有效性,为实际伺服控制系统的设计和调速提供了新的方法。     

轨道交通视景仿真模拟器分布式系统设计

以轨道交通驾驶训练为背景,介绍了模拟训练的设计方案。利用模块化设计实现计算机与操作单元的分布式仿真：PLC模块实现操作单元的指令和数据传输,通过RS485/232实现控制台计算机对操作单元检测与控制;采用四通道视景系统作为输出界面,Creator构建轨道站点和沿线环境模型,Vega实现模型驱动。应用表明该系统在实时性、逼真度和开放性等方面比视频模拟器均有较大提高,并已成功应用于某城市轨道交通视景仿真模拟器中。     

Passenger body vibration control in active quarter car model using ANFIS based super twisting sliding mode controller

This paper presents passenger body vibration control using an Adaptive Neuro Fuzzy Inference System (ANFIS) based super twisting sliding mode controller (ASTSMC) in active quarter car system. The proposed quarter car model is having three degrees of freedom composed of passenger body, sprung mass and unsprung mass. The random road profile is generated using ISO 8608 standard. The ride comfort of passenger body is calculated as per ISO 2631-1 standard. The simulation response is studied in time and frequency domain for passenger body acceleration and displacement in quarter car model. The response generated by ASTSMC controller for passenger body vibration suppression is compared with super twisting sliding mode controller and passive suspension system. The graphical and mathematical results proved the superiority of proposed ASTSMC controller in providing best ride comfort and safety to travelling passenger.     

基于车体横移振动的高速列车虚拟复合阻尼天棚控制算法研究

高速列车车体横向随机振动由车体的横移振动、侧滚振动和摇头振动三自由度合成,是影响车体横向运行平稳性的关键;为了改善列车横向运行平稳性,提高半主动控制性能;通过建立某型高速列车动力学模型,对车体横向振动特性进行分析,得出横移振动的加剧是造成车体合成横向振动和横向平稳性恶化的主要原因;通过分析在传统天棚阻尼控制算法下分别以车体合成横向振动为反馈和以横移振动为反馈对车体横向振动的控制效果,得出采用以车体横移振动为反馈的传统天棚阻尼控制算法对车体横向振动的抑制效果更佳;在此基础上,提出一种以车体横移振动为反馈的虚拟复合阻尼天棚控制算法,并进行联合仿真分析;结果表明:相比于被动控制,采用虚拟复合阻尼天棚控制算法后,车体合成横向振动加速度峰值、均方根值和平稳性改善率分别达到了46%、43%和19.5%,均高于采用传统天棚阻尼控制算法;可见,采用虚拟复合阻尼天棚控制算法在抑制车体合成横向振动,改善车体横向平稳性方面控制性能更佳。     

最优控制理论在人车路磁流变半主动悬架中的应用

基于半主动悬架车辆的1/4动力学模型,论述了磁流变液特性及磁流变减振器的工作原理,推导了在随机最优控制理论下可调阻尼力和状态变量之间的关系,应用matlab/simulink编制了人车路模型的仿真程序,并以简化模型为例,考察了在磁流变阻尼器控制下的人车路平顺性问题.计算结果表明,与没有磁流变减振器的被动悬架相比较,该减振器的应用能够较好的改善汽车的平顺性,对提高人体的舒适性以及进一步深入研究该系统的振动,改善道路的振动特性有一定的指导意义.     

Dynamic modeling and fuzzy logic control of vibrations of a railway vehicle for different track irregularities

Safe and comfortable transportation of passengers and goods on railways can be achieved by solving the vibration problem. In this study, the dynamic modeling of the full railway vehicle is used to perform vibration analysis in order to observe displacements and accelerations. The full railway vehicle model consists of 54 degrees of freedom which are defined by differential equations. Additionally, wheel–rail contact problem (i.e. creepage factors and hertzian spring stiffness of rails) is analyzed by finite element method. Dynamic modeling and vibration analysis are carried out using Matlab–Simulink software. Using the developed model, the car body vibrations, caused by a lateral and two vertical sinusoidal track irregularities, are controlled by fuzzy logic controllers placed between the car body and bogies. The fuzzy logic algorithm herein is used for realizing the active control of car body vibrations. The simulations of vibration analysis are obtained in time and frequency domains and compared with passive controlled status. The robustness of the designed controller is verified by simulations, carried out for the cases of car body mass variations. The results show the effectiveness of the proposed algorithm.     

Feedback control design with vibration suppression for flexible air-breathing hypersonic vehicles

This paper investigates the problem of feedback control design with vibration suppression for a flexible air-breathing hypersonic vehicle （FAHV）. FAHV includes intricate coupling between the engine and flight dynamics, as well as complex interplay between flexible and rigid modes, which results in an intractable system for the control design. In this paper, a longitudinal model, which is described by a coupled system of ordinary differential equations （ODEs） and partial differential equations （PDEs）, is adopted. Firstly, a linearized ODE model for the rigid part is established around the trim condition, while vibration of the fuselage is described by PDEs. Secondly, based on the Lyapunov direct method, a control law via ODE state feedback and PDE boundary output feedback is designed for the system such that the closed-loop exponential stability is ensured. Finally, simulation results are given to illustrate the effectiveness of the proposed design method.     

Robust impedance control of a hydraulic suspension system

A novel robust impedance control approach is developed to control dynamic behavior of a vehicle subject to road disturbances. This behavior is predetermined as an impedance rule to achieve passenger comfort and vehicle handling by the use of a hydraulically actuated suspension system. Impedance control law is simple, free of model and efficient to apply for a broad range of road conditions. Moreover, it relates comfort to handling. This control approach can provide a desired comfort when passing a bump, and both desired comfort and handling after passing a bump. Robust position and force controls are used to implement the robust impedance control with the presence of uncertainties. A transformed proportional–integral–derivative control is proposed to perform the robust control. The system stability is analyzed and analytical results are confirmed by simulations. A quarter‐car model of suspension system and a nonlinear model of hydraulic actuator are used to simulate the control system. Copyright © 2009 John Wiley & Sons, Ltd.     

Vibration control of vehicle active suspension system using a new robust neural network control system

The main problem of vehicle vibration comes from road roughness. For that reason, it is necessary to control vibration of vehicle’s suspension by using a robust artificial neural network control system scheme. Neural network based robust control system is designed to control vibration of vehicle’s suspensions for full suspension system. Moreover, the full vehicle system has seven degrees of freedom on the vertical direction of vehicle’s chassis, on the angular variation around X-axis and on the angular variation around Y-axis. The proposed control system is consisted of a robust controller, a neural controller, a model neural network of vehicle’s suspension system. On the other hand, standard PID controller is also used to control whole vehicle’s suspension system for comparison.Consequently, random road roughnesses are used as disturbance of control system. The simulation results are indicated that the proposed control system has superior performance at adapting random road disturbance for vehicle’s suspension.     

野草入侵模糊算法的半主动空气悬架研究

为了抑制由路面不平引起的车辆振动,结合磁流变阻尼器和空气弹簧的变阻尼/刚度特性,设计了含内置永磁体式磁流变阻尼器的半主动空气悬架系统.基于电磁学原理,对内置永磁体式磁流变阻尼器的力学特性建模.建立了1/4车辆二自由度动力学模型,并利用野草入侵算法对常规模糊算法规则进行优化,开发了野草入侵-模糊混合控制策略对内置永磁体磁流变阻尼器的空气悬架进行半主动控制.为验证该控制策略在磁流变空气悬架的半主动控制效果,进行了C级路面随机输入及凸块脉冲输入仿真分析,仿真结果可知,野草入侵-模糊控制策略能有效地提高半主动悬架系统的综合性能.并且通过台架试验进一步表明,利用该控制策略能够使车身振动加速度及悬架动挠度分别减小25.87%、35.13%.     

基于dSPACE的磁流变半主动减振实验控制系统研究

对磁流变半主动悬架减振实验系统进行设计,构造了基于dSPACE系统的磁流变半主动悬架实验控制系统,设计了基于脉宽调制控制的磁流变阻尼器驱动电路,在设计的磁流变半主动悬架减振实验台上对二自由度悬架的半主动控制策略进行实验,通过实验数据分析,验证了控制策略的有效性.