基于LabVIEW的半主动悬挂实验台状态监测系统研究

介绍基于LabVIEW开发平台的磁流变半主动悬挂振动实验台的虚拟仪器测试系统,论述了对振动信号进行实时采集、处理和分析的软硬件实现方案。实际运行情况表明,该系统工作可靠,稳定。     

履带车辆磁流变半主动悬挂系统滑模控制研究

建立了履带车辆1／2车体振动模型,设计了相应的滑移面和滑移模态控制器,得出了履带车辆半主动悬挂系统的实时控制阻尼力,并对路面激励下滑模控制与最优控制的减振效果进行了仿真。     

履带车辆半主动悬挂二自由度计算机仿真实验

基于磁流变(MRF)减振器的履带车辆半主动悬挂系统，其阻尼力根据环境可控可调，从而能够完成对履带车辆振动的有效抑制。选用履带车辆二自由度1／2的车体模型，分别针对被动悬挂和半主动悬挂，建立了相应的数学模型。加上瞬时最优控制算法后，得出了悬挂系统的最优控制力。采用控制系统的分析和仿真软件Matlab中的Simulink工具箱进行了被动及半主动仿真实验。     

车辆半主动悬挂开关控制特性的研究

研究了车辆半主动悬挂在速度反馈开关控制模式下的控制规律及系统幅频特性。通过仿真计算,对不同阻尼控制规律下系统的幅频特性进行了对比;分析了在单自由度半主动悬挂模型中的开关颤振现象及其原因;提出了以减振器的相对速度为反馈信号的能避免颤振的控制规律,简单且易于实现。     

基于磁流变阻尼器的履带车辆悬挂系统半主动控制

将磁流变阻尼器应用于履带车辆的悬挂系统中,研究了磁流变阻尼器在不同电流下的力学特性和耗能特性。建立了履带车辆二自由度车体振动模型,提出了基于线性二次型(LQR)最优控制理论的半主动控制算法。对典型沙土路面激励下履带车辆悬挂系统的半主动控制效果进行了仿真,与被动及开关控制的减振效果进行比较,得出了车体振动加速度、线位移、角加速度和角位移的响应曲线。结果表明,该控制算法对基于磁流变阻尼器的履带车辆悬挂系统有着很好的控制效果。     

基于磁流变阻尼器的铁道车辆半主动悬挂系统的优化设计

对天棚阻尼器方法的SISO(单输入输出)调节器与集中式调节器进行了比较,结合天棚阻尼、动态补偿、滑模控制方法,对执行器非线性进行了优化研究.计算分析结果表明:对半主动执行器性能进行有限的限制,集中式调节器可以得到最优控制力,将会最大限度地减少车体加速度.仿真结果表明:采用混合控制方法,可以更好地提高铁路车辆性能方面的动态稳定性和舒适性.     

履带车辆肘内式半主动油气悬挂性能研究

肘内式油气悬挂与传统油气弹簧相比,能够以较小的体积和质量,提供更高的负载能力。将履带车辆肘内式油气悬挂单轮模型与半主动控制相结合,进行了半主动肘内式油气悬挂动态特性分析,提出了基于天棚算法的半主动双环控制策略,外环控制器计算目标阻尼力对应的阀芯位置,内环控制器控制阀芯跟踪目标位置,从而达到改善履带车辆平顺性的目的。探索了Virtual.Lab,AMESim和Matlab之间的集成接口,搭建了机电液耦合系统的联合仿真虚拟试验平台,并在该平台对控制算法进行了验证,结果表明肘内式油气悬挂半主动性能显著优于被动悬挂。     

基于ADAMS模型的履带车辆半主动悬挂自适应控制

建立了某履带车辆ADAMS整车模型。搭建了控制算法MATLAB与实体模型ADAMS之间的联合仿真接口。提出了采用模糊控制器调整PID调节器参数实现基于ADAMS建模的整车半主动悬挂控制策略。用动行程及其变化率作为模糊控制器的输入,通过模糊控制器的输出动态调整PID调节器的参数,形成了车辆半主动悬挂自适应控制系统。仿真研究表明,该自适应控制系统能够有效协调加速度和动行程在不同频段的矛盾,明显改善履带车辆行驶的平顺性。     

磁流变液半主动悬挂系统动力学模拟系统研究

基于磁流变液构造出的半主动悬挂系统,可以用于对车辆振动的实时控制,半主动悬挂系统模拟试验台是实行实车动力学分析进而实现上述目标的基础性设备.按照相似定理,进行履带车辆磁流变液半主动悬挂系统动力学模拟实验的台架设计,实现动力学模拟;结合履带车辆行驶的典型越野路面,提出一种路面激励输入设计方案;叙述了阻尼系数的确定,包含动力学分析和试验台参数选取.对整个动力学模拟系统的构建进行了全面的分析和设计.     

机车半主动悬挂系统模糊控制研究

模糊控制简单方便,硬件容易实现,在机车半主动悬挂控制中应用广泛,但普通模糊控制精度低,有必要采用改进型模糊控制方法.介绍机车半主动悬挂模糊控制系统结构及原理,并依照不同的模糊控制策略,重点讨论基于可调因子、变论域和进化算法优化模糊规则的三种改进型模糊控制方法特点及其局限性.最后,提出机车半主动悬挂模糊控制的发展方向.     

车辆半主动悬架系统控制的研究与仿真

在基于阻尼控制的半主动悬架系统模型基础上,设计了悬架系统模糊逻辑控制器。并从频域和时域两个角度对悬架控制系统进行了分析,最后对车辆行驶平顺性进行了评价。结果表明,模糊控制可有效提高车辆的行驶平顺性。     

Bandwidth-limited active suspension controller for an off-road vehicle based on co-simulation technology

This paper presents the design process of a controller for bandwidth-limited active hydro-pneumatic suspension employed by an off-road vehicle based on co-simulation technology. First, a detailed multi-body dynamic model of the vehicle is established by using the ADAMS/View software package, which is followed by validation using a vehicle field test. Second, a combined PID and fuzzy controller is designed for the bandwidth-limited active suspension system and then programmed by means of S-functions in Matlab/Simulink, to which a data exchange interface with ADAMS/View is also defined. Third, the proposed control algorithm is implemented on the multi-body dynamic vehicle model to enable the co-simulation to run repeatedly until a more practical controller is achieved. In the end, the proposed active suspension system is compared with a conventional passive system. Simulation results show that the proposed active suspension system considerably improves both the ride and handling performance of the vehicle and therefore increases the maximum traveling speeds even on rough roads. __________ Translated from Journal of Shanghai Jiao Tong University, 2006, 40(6): 952–957 [译自: 上海交通大学学报]     

Fuzzy chaos control for vehicle lateral dynamics based on active suspension system

The existing research of the active suspension system（ASS） mainly focuses on the different evaluation indexes and control strategies. Among the different components, the nonlinear characteristics of practical systems and control are usually not considered for vehicle lateral dynamics. But the vehicle model has some shortages on tyre model with side-slip angle, road adhesion coefficient, vertical load and velocity. In this paper, the nonlinear dynamic model of lateral system is considered and also the adaptive neural network of tire is introduced. By nonlinear analysis methods, such as the bifurcation diagram and Lyapunov exponent, it has shown that the lateral dynamics exhibits complicated motions with the forward speed. Then, a fuzzy control method is applied to the lateral system aiming to convert chaos into periodic motion using the linear-state feedback of an available lateral force with changing tire load. Finally, the rapid control prototyping is built to conduct the real vehicle test. By comparison of time response diagram, phase portraits and Lyapunov exponents at different work conditions, the results on step input and S-shaped road indicate that the slip angle and yaw velocity of lateral dynamics enter into stable domain and the results of test are consistent to the simulation and verified the correctness of simulation. And the Lyapunov exponents of the closed-loop system are becoming from positive to negative. This research proposes a fuzzy control method which has sufficient suppress chaotic motions as an effective active suspension system.     

轮边驱动电动汽车主动悬架LQG控制仿真研究

为了提高轮边驱动电动汽车的行驶平顺性,以车轮减振型轮边驱动系统作为研究对象,在其基础上设计不同的主动悬架布置方案。首先建立1/4车辆主、被动悬架动力学模型;然后采用最优控制理论设计车辆主动悬架LQG控制器,并基于层次分析法确定车辆各性能评价指标加权系数;最后在MATLAB/Simulink软件中建立仿真模型并进行仿真分析。仿真分析结果表明,相比于被动悬架,主动悬架两种布置方案均能有效地提高汽车行驶平顺性,综合考虑车辆各性能评价指标的改善效果,主动悬架布置方案二优于布置方案一。     

基于振动的蜗杆蜗轮减速器状态监测方法研究

蜗杆蜗轮减速器由于减速比大、传动平稳，在工业上得到了广泛的应用。当出现故障时，蜗杆蜗轮减速器磨损状态的监测往往要停机检查，检修周期长。本文基于蜗杆蜗轮减速器工作中振动信号的测量和分析，提出了一种蜗杆蜗轮减速器磨损状态的振动监测方法。该方法可在线测量蜗杆蜗轮振动信号以及分析蜗杆蜗轮减速器的磨损状态。通过工厂实际测试和分析，证实了该方法的有效性。     

Condition monitoring of first mode of metal transfer in friction stir welding by image processing techniques

This paper discusses a method for online condition monitoring of the friction stir welding (FSW) process using image processing techniques. Many FSW experiments are carried out at different process parameters and images of the first mode of the weld zone are captured. They are subsequently digitally processed and analysed using MATLAB to study the variations in the quality of weld, subjected to various conditions such as pin failure, and pin depth. This facilitates development of a methodology for online condition monitoring.     

Condition monitoring studies on spindle bearing of a lathe

In modern industry, machinery must become increasingly flexible and automatic. In order to increase productivity, enhance quality and reduce cost, machine tools have to work free of any failure. When a failure occurs in a machine tool, it is necessary to identify the causes as early as possible. Machine tool condition monitoring is very important to achieve this goal. Condition monitoring is generally used on the critical subsystem of any machine tool. This paper endeavors to focus on the condition monitoring aspects on the machine tool element. In the present study, a critical subsystem has been identified based on the failure data analysis. Condition monitoring techniques like vibration monitoring, acoustic emission, Shock Pulse Method (SPM) and surface roughness have been successfully used for fault identification.     

基于集成NSET和模糊软聚类的风电机组齿轮箱状态监测

风电机组齿轮箱的故障频率和维修成本较高,有必要对其运行状态进行实时监测。非线性状态估计(NSET)算法有着对记忆矩阵依赖大、无法有效利用数据资源改善精度、实时性差等不足。为此,提出一种基于模糊软聚类和集成NSET的状态监测方法:使用模糊软聚类将历史数据分为边界有重叠的不同类别,实现工况的软划分并构造多个不同工况的NSET模型作为个体学习器;以参数回归方法作为结合器,可在不影响实时性的同时,使用大量数据训练参数以改善精度。用某2 MW风电机组的齿轮箱故障数据进行验证,结果表明,相比常规方法,提出方法的精度和实时性均更优;通过预测残差均值和基于残差构造的健康指数,能够灵敏、准确的反映齿轮箱的早期故障及其发展趋势。     

某厂循环气螺杆压缩机状态监测及故障分析

某厂2套丁二烯装置的2台螺杆式循环气压缩机是2套装置的核心设备。日常的运行中出现仪表联锁停机、机封漏油、电机漏油等故障,造成多次非计划停机,不仅给生产带来了损失,而且每次停机都浪费大量的介质和昂贵的维修费用,使能耗升高,更给安全生产和环保带来巨大隐患;利用状态监测分析故障前的表现形式,总结经验,保障在今后的工作中通过状态监测,做到预知维修,确保压缩机安全、稳定运行。