自调整模糊控制技术在汽车悬架系统中的应用

以车辆操纵稳定性及行驶平顺性为控制目标,提出一种在线可调整的模糊控制算法,其模糊控制规则表可以用解析方法得到.该算法不仅体现了一般模糊控制算法对非线性系统具有的明显优势,而且可以利用LMS自适应模块调整模糊控制器的修正因子,改善了一般模糊控制算法对专家先期经验依赖的缺陷.通过对简化的车辆模型仿真计算分析,证明该算法对悬架系统的振动控制具有较好的效果;并在两自由度的悬架系统试验台架上进行了试验研究,结果证明,与被动悬架系统相比,LMS自适应模糊主动悬架系统簧上质量加速度均方根降低41%.     

汽车半主动悬架神经模糊融合网络控制

针对汽车半主动悬架模糊控制器的模糊控制规则无法有效调整的问题,建立了两自由度1/4车辆模型.利用白噪声模拟路面激励并作为系统的输入,将人工神经网络与模糊逻辑控制相融合,采用人工神经网络模拟模糊控制过程,实现了模糊规则的自适应调整.将直接控制力作为参考控制力对神经网络进行训练,输出控制力结合开关控制策略实现悬架的半主动控制.仿真分析表明,神经模糊融合网络控制器相对于模糊控制器和被动悬架,使悬架性能得到了显著的改善.     

主动悬架 LQG 控制与模糊 PID 控制的比较研究

为了解决主动悬架系统控制问题,建立了1／2车辆主动悬架系统动力学模型,并设计了两种应用于主动悬架的控制器：LQG控制器和模糊PID控制器。 LQG控制器以车身垂向加速度、俯仰角加速度、悬架动挠度、轮胎动位移和悬架控制力作为其性能评价指标。模糊PID控制器将PID控制器与模糊控制器并联,采用了双模糊控制,分别以质心速度及其变化率和俯仰角速度及其变化率作为前、后悬架模糊控制器的两个输入;输出分别为前、后悬架的控制力。将分别应用这两种控制器的主动悬架在Simulink中仿真,结果表明两种控制器均能很好地改善汽车平顺性和乘坐舒适性。通过对两种控制的综合比较,模糊PID控制更具有实用性。     

Research on Suspension Gravity Compensation System of Lunar Rover with Magnetic Levitation Servo

In order to overcome the shortcomings of the traditional sling suspension method, such as complex structure of suspension truss, large running resistance, and low precision of position servo system, a gravity compensation method of lunar rover based on the combination of active suspension and active position following of magnetic levitation is proposed, and the overall design is carried out. The dynamic model of the suspension module of microgravity compensation system was established, and the d...     

主动悬架平顺性和侧倾姿态综合控制策略

针对汽车转向操作,首先设计了主动悬架平顺性和操纵稳定性的LQG控制方法,进而提出将LQG控制与模糊控制相结合的综合控制策略。建立九自由度的主动悬架系统整车模型,利用Matlab/Simulink软件分别对随机路面上汽车转向盘角阶跃输入和单正弦输入进行控制仿真,将综合控制策略主动悬架与LQG控制主动悬架和被动悬架仿真结果进行性能指标的对比分析。结果表明:本文提出的综合控制策略能够在LQG控制基础上,充分减小车身侧倾角,优化车身侧倾姿态,达到同时提高汽车平顺性和操纵稳定性的目的。     

半主动空气悬架的参数自调整模糊控制仿真

针对半主动空气悬架系统进行了自调整模糊控制算法的仿真研究。以某空气悬架大客车1/4车辆模型为仿真对象,设计了参数自调整的模糊控制器,并以B级路面为随机输入,以平顺性为评价指标,对模型进行了计算机仿真。结果表明,在引入参数自调整模糊控制方法后,车辆的行驶平顺性得到了改善。此外,当汽车行驶工况变化时,该控制器仍表现出良好的控制效果。     

基于遗传算法权值优化的汽车悬架最优模糊控制

结合车辆非线性主动悬架系统数学模型,首先设计出悬架系统的线性二次型整定（LQR）最优控制器,其中控制器的加权系数利用遗传算法优化搜索获得,然后设计悬架系统的模糊控制器,进而开展LQR最优控制、模糊控制以及两者并联结合的复合控制方法对比研究．利用遗传算法对加权系数进行搜索优化,可有效解决传统LQR控制器加权系数不易确定的问题．该复合控制方法可获得相比单一控制方法更优的悬架系统控制效果,在车辆不同行驶工况条件下,能进一步降低车身垂直振动加速度、悬架动挠度和轮胎形变,明显提高了汽车的行驶平顺性和操纵稳定性．     

汽车主动悬架电子控制单元设计

使用AT89C52芯片作为控制芯片,以车身垂向加速度作为控制目标,设计了一种以1/4车辆振动模型为基础的主动悬架电子控制单元。控制单元采集垂向加速度及变化率作为输入信号,经过模糊控制算法处理,输出控制信号实现对车身振动的控制。实验结果表明,该控制单元能够很好的抑制车身的振动。悬架的控制单元的研究设计,对缩小与国际水平的差距,有着非常现实的意义。     

Study on preview control method of active suspension based on a half-car model

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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.     

基于模糊PID控制器的麦弗逊悬架联合仿真研究

通过实验测出磁流变阻尼器在不同电流作用下的力与速度关系的阻尼系数特征数据,并将所得阻尼数据导入麦弗逊悬架多体动力学模型;计算簧载质量速度及其变化率作为主动悬架控制的输出量;半主动悬架采用模糊PID复合控制器,用模糊控制策略对PID控制器在给定的参数范围内进行在线实时调整;在MATLAB中搭建悬架系统联合仿真模型。仿真计算结果表明:在各不同车速阶段,采用模糊PID复合控制器均对改善悬架的总体性能有明显作用;且车身垂直加速度、悬架动行程及车轮侧向滑移量在低频阶段改善突出,提升了整车在不同车速范围内的乘坐舒适性与操作稳定性。     

救护车担架-卧位人体系统振动主动控制研究

针对救护车担架-卧位人体系统,建立了六自由度主动减振系统的数学模型,并采用模糊控制的方法研究了救护车担架—卧位人体系统振动的主动减振问题。以担架质心处垂向速度、俯仰角速度及其变化率作为模糊控制器输入,使用双模糊控制器实现担架减振装置的主动控制,达到改善担架垂直和俯仰振动的综合减振目的。用Matlab语言及其Simulink工具箱进行了仿真,结果表明,主动控制的减振系统能有效地降低救护车担架-卧位人体系统垂直振动和俯仰振动,从而在改善救护车减振性能方面具有重要的应用价值。     

The Model Reference Adaptive Fuzzy Control for the Vehicle Semi-Active Suspension

The LQG control system is employed as vehicle suspension‘ s optimal target system, which has an adaptive ability to the road conditions and vehicle speed in a limited bandwidth. In order to keep the optimal performances when the suspension parameters change, a model reference adaptive fuzzy control (MRAFC) strategy is presented. The LQG control system serves as the reference model in the MRAFC system. The simulation results indicate that the presented MRAFC system can adapt to the parameters variation of vehicle suspension and track the optimality of the LQG control system, the presented vehicle suspension MRAFC system has the ability to adapt to road conditions and suspension parameters change.     

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.     

OPTIMAL CONTROL OF AN ACTIVE SUSPENSION SYSTEMEMPLOYING HIGH SPEED ON/OFF SOLENOID VALVE

Conventionalpassivesuspensionistypicallycomposedofcoilspringandhydraulicdampers.Toimproveridecomfort,thesepassiveelementsmustbesetonthesoftside,buttoimprovehandling,springsanddampersmustbemadestiffertodampwheelvibrationandreducebodyrollingandpitchingmotions.Thesecontrarypurposesformtheclassicsuspensiondesigncompromise.Differingfromapassivesuspension,anactivesuspensionhasitsownpowersource,andcancontinuallysupplyandmodulatetheflowofenergyandgeneratethecontrolforcewhichcanbeafunctionsofanyvariabl…     

Control Research of Dual Chamber Hydro-Pneumatic Suspension

Vehicle riding comfort and handling stability are directly affected by suspension performance. A novel dual chamber hydro-pneumatic (DCHP) suspension system is developed in this paper. Based on the structural analysis of the DCHP suspension, an equivalent suspension model is proposed for the control purpose. A cuckoo search (CS) based fuzzy PID controller is proposed for the control of the DCHP suspension system. The proposed controller combines the advantage of fuzzy logic and PID controller, and CS algorithm is used to regulate the membership functions and PID parameters. Compared with tradition LQR controller and passive suspension system, the CSFPID controller can reduce the sprung mass acceleration, and at the same time with no deterioration of tire deflection.     

基于对角递归神经网络的汽车主动悬架控制

为了提高电动汽车行驶平顺性及操纵稳定性,针对电动汽车悬架进行振动分析,建立了七自由度汽车电动主动悬架模型,设计四轮全驱电动汽车电动主动悬架结构及其控制系统.重点针对电动汽车主动悬架特点设计对角递归神经网络(DRNN)控制器,选取车身垂向加速度、悬架动行程和轮胎动行程作为神经网络控制器输入,采用梯度下降法对神经网络权值进行在线调整.仿真结果表明,具有DRNN控制器的电动主动悬架控制效果较PID控制主动悬架和被动悬架有显著提高,有效改善了汽车行驶平顺性及操纵稳定性,也说明所设计的控制策略在电动汽车电动主动悬架控制方面的有效性.     

基于FUZZY-PID的汽车主动悬架的仿真研究

根据汽车主动悬架的基本结构，通过力学分析建立了两自由度的车身及悬架系统数学模型，设计了用于该主动悬架的模糊控制器，对PID参数进行自动调整，应用Matlab／Simulink控制系统仿真软件，对1／4汽车主动悬架模型进行计算机仿真。并进行了与常规PID主动悬架系统的比较，结果表明具有此模糊控制器的主动悬架在提高车辆乘坐的舒适性和操纵的稳定性方面明显优于其它形式的悬架系统。     

Fuzzy Logic Control for Suspension Systems of Tracked Vehicles

A scheme of fuzzy logic control for the suspension system of a tracked vehicle is presented.A mechanical model for the whole body of a tracked vehicle,which is totally a fifteen-degree-of-freedom system,is established.The model includes the vertical motion,the pitch motion as well as the roll motion of the tracked vehicle.In contrast to most previous studies,the coupling effect among the vertical,the pitch and the roll motions of the suspension system of a tracked vehicle is considered simultaneously.The simulation of fuzzy logic control under road surface with random excitation shows that the acceleration,pitch angle and roll angle of suspension system can be efficiently controlled.     

大跨空间结构动力响应模糊控制

针对大跨空间结构动力灾变主动控制问题,设计了一种超磁致伸缩作动器.介绍了主动控制系统的工作原理,并建立了受控系统的空间状态方程,采用遗传算法对大跨空间结构主动控制作动器的布置位置进行了优化设计.分析了模糊控制系统的基本结构及模糊控制器的制作原理和方法,并设计了标准模糊控制器.应用MATLAB软件对大跨空间网架结构振动进行了模糊控制分析,结果表明,超磁致伸缩作动器具有良好的作动效应,利用遗传算法有效地提高了主动控制优化设计效率,同时实现了对结构的整体优化,模糊控制能够有效地降低大跨空间结构的振动反应,是一种较好的结构振动控制方法.