主动前轮转向客车的操纵稳定性仿真分析

建立某大型客车的含侧向、横摆及侧倾三自由度动力学模型,通过方向盘角阶跃转向仿真结果和试验数据的比较,验证了仿真分析的准确性。采用横摆角速度跟踪主动前轮转向控制策略,结合比例积分控制方法,在考虑作动器动态特性和前轮转角饱和特性的基础上,对主动前轮转向控制前后的车辆进行直线行驶下的侧向风扰动和湿滑路面急转弯情况下的仿真对比分析。结果表明,主动前轮转向控制后的车辆其操纵稳定性和行车安全性都有较大的提高。     

港珠澳大桥青州航道桥塔墩防船撞数值模拟与性能分析

采用LS-DYNA动力有限元分析软件,对港珠澳大桥青州航道桥塔墩防船撞性能进行了数值模拟与性能分析。塔墩、代表型船舶与防撞钢套箱分别采用实体单元、shell单元模拟,并以最不利的船舶正撞方式进行撞击分析,对塔墩设置钢套箱后的撞击力及钢套箱的防撞性能进行了比较分析。结果表明,青州航道桥塔墩设置的钢套箱能有效地降低撞击力,具有很好的防撞效果,且钢套箱在受撞部位损伤较大,但在其他部位保存完好,可对受撞钢套箱节段进行更换或维修即可。     

基于等效力的汽车主动避撞模型及其仿真

为使汽车主动避撞模型能够在人-车-路不同行车环境下保证汽车的主动避撞效果,建立了基于等效力的汽车主动避撞模型.通过以汽车风险评估中提出的等效力模型为基础,加入路面附着系数因子、驾驶员激进程度因子和汽车速度因子,得到行车等效力模型,通过实际行车等效力与不同行车环境中的标准等效力进行对比,实现汽车主动避撞预警.利用Simu...     

基于MATLAB的主动悬架的最优控制分析

本文通过建立二自由度车辆悬架模型,应用了最优控制理论设计了主动悬架控制器,并在MATLAB/SIMULINK中建立了系统模型并进行了仿真。研究结果表明主动悬架比被动悬架的控制效果要好。     

DSP-based self-organising fuzzy controller for active suspension systems

This study proposed a self-organising fuzzy controller (SOFC) for controlling an active suspension system to evaluate its control performance. During the control process, the SOFC continually updated the learning strategy in the form of fuzzy rules. The fuzzy rule table of this SOFC could be initially set to zero. This not only overcame the difficulty in finding appropriate membership functions and control rules for designing a fuzzy controller, but also solved the database problem where the fuzzy rules of a fuzzy controller, once determined, remained fixed and could not suitably regulate them in real time to optimise the dynamic response of the system required to gain the desired control performance. To demonstrate the applicability of the proposed SOFC for active suspension systems, a quarter-car hydraulic-servo suspension system was designed and constructed to evaluate the feasibility of active suspension control. Additionally, to conform to real-time application requirements in the vehicular industry, the SOFC was implemented with a digital signal processor to control the hydraulic-servo suspension system so that the control performance could be determined. The SOFC has shown a better control performance in suppressing the vibration amplitude of the vehicle body for enhancing the structural safety of the vehicle and increasing the life of the suspension system. It also effectively suppressed the amplitude of the vehicle body acceleration and reduced the tire deflection for improving the ride and the handling quality of a vehicle better than a passive control, as verified in experimental results.     

A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles

This paper proposes a robust control framework for lane-keeping and obstacle avoidance of semiautonomous ground vehicles. It presents a systematic way of enforcing robustness during the MPC design stage. A robust nonlinear model predictive controller (RNMPC) is used to help the driver navigating the vehicle in order to avoid obstacles and track the road centre line. A force-input nonlinear bicycle vehicle model is developed and used in the RNMPC control design. A robust invariant set is used in the RNMPC design to guarantee that state and input constraints are satisfied in the presence of disturbances and model error. Simulations and experiments on a vehicle show the effectiveness of the proposed framework.     

Development of an errorable car-following driver model

An errorable car-following driver model is presented in this paper. An errorable driver model is one that emulates human driver’s functions and can generate both nominal (error-free), as well as devious (with error) behaviours. This model was developed for evaluation and design of active safety systems. The car-following data used for developing and validating the model were obtained from a large-scale naturalistic driving database. The stochastic car-following behaviour was first analysed and modelled as a random process. Three error-inducing behaviours were then introduced. First, human perceptual limitation was studied and implemented. Distraction due to non-driving tasks was then identified based on the statistical analysis of the driving data. Finally, time delay of human drivers was estimated through a recursive least-square identification process. By including these three error-inducing behaviours, rear-end collisions with the lead vehicle could occur. The simulated crash rate was found to be similar but somewhat higher than that reported in traffic statistics.     

基于层次分析法的客车安全性评价体系研究

通过评价指标选取原则,将客车安全分为主动安全、被动安全、车辆技术管理三大指标体系,利用层次分析法,把定性指标定量化,确定各指标权重,并综合分析得出客车的安全性评价值。     

有源滤波器复合控制策略的研究

传统PI控制存在缺陷,为了实现无差精确控制,本文设计了基于模糊自调整的广义积分控制策略,通过模糊辅助调整器来动态调节广义积分控制器的各个控制参数,使此电流控制器可以同时获得较好的动态性能及稳态性能。该控制方法有效地提高了系统的目标跟随特性、抗干扰性和鲁棒性,并且具有计算量小、容易工程实现的特点。仿真与实验结果验证了文中所提出的复合控制策略的有效性和可行性。