Fuzzy-logic applied to yaw moment control for vehicle stability

In this paper, we propose a new yaw moment control based on fuzzy logic to improve vehicle handling and stability. The advantages of fuzzy methods are their simplicity and their good performance in controlling non-linear systems. The developed controller generates the suitable yaw moment which is obtained from the difference of the brake forces between the front wheels so that the vehicle follows the target values of the yaw rate and the sideslip angle. The simulation results show the effectiveness of the proposed control method when the vehicle is subjected to different cornering steering manoeuvres such as change line and J-turn under different driving conditions (dry road and snow-covered).     

The future of road safety: A worldwide perspective

Estimates by the World Health Organization suggest that, on a yearly basis, road crashes kill 1.25 million people—nearly 3400 road fatalities per day—and injure up to 50 million. Traffic injuries are not equally spread over the world, however; some countries are hit harder than others, and the chance of being killed in a road crash depends on where one lives. Almost 90% of all traffic casualties occur in low- and middle-income countries (LMIC). Globally, the number of fatalities per 100,000 population (mortality rate) ranges from less than 3 to almost 40. The rate is less than 9 in high-income countries (HIC) but averages around 20 in LMIC, with the African region demonstrating the highest rate (26.6). While road safety trends have been positive in HIC over the last few decades, trends in LMIC are not telling a positive story: road fatalities are expected to increase to almost 2 million road fatalities per year by 2020.The United Nations has adopted several resolutions on road safety and proposes actions to tackle the global road safety crisis. Considering the current level of road safety to be unacceptable, the UN has taken several initiatives. One effort, the Decade of Action for Road Safety 2011–2020, has generated substantial activity around the world over the last couple of years. Furthermore, it is very encouraging that the UN included road safety in the Sustainable Development Goals that it laid out in September 2015. Road safety is part of the public health agenda and the urban development agenda. Measured in “real actions,” however, the responses so far from the overall global community and individual countries do not suggest that we are already on the right track to bringing down the death toll on roads.The future of road safety is uncertain and definitely not the same for all regions of the world. Countries with a mature road safety approach and an ambition to make further progress are expected to move in the direction of a pro-active approach: a Safe System approach. It is reported that many LMIC, meanwhile, are on the brink of designing road safety strategies and implementing action plans. The international community is willing to support LMIC, but LMIC cannot simply copy successful HIC strategies because local circumstances differ. The principles of successful HIC strategies are applicable, but the priorities and action plans should take root in and align with local conditions.     

锚固路堑高边坡稳定性非线性模糊评判

针对路堑高边坡锚固后的稳定性评价,基于模糊性与层次性构建锚固路堑高边坡稳定性2级模糊综合评判模型。根据不同类评价指标的取值方法及隶属度函数选取原则,建立统一的隶属度确定方法,采用三角模糊数互补判断矩阵排序方法确定权向量,以体现评价指标重要程度比较的不确定性。引入非线性模糊算子,以消除个别影响因素不利时对结果的突出影响,使评价结果能更真实地反映工程实际状况。以京新高速公路路堑高边坡稳定性评价为应用实例,验证该模型的可行性与合理性。     

岩溶隧道风险等级模糊综合评价

为了获得已探明有溶洞存在时的隧道发生涌水突泥的风险等级,针对叙大铁路有溶洞存在的中坝隧道,选取了针对性的指标体系:溶洞规模,建立了相应的模糊综合评价模型,并采用层次分析法计算各项风险指标的权重,从而得出在有溶洞存在时这一特定条件下,隧道发生涌水突泥风险级别。     

应用模糊自适应PID和预瞄策略的自主车辆转向控制

文中结合智能车辆路径跟踪过程中转向控制方面的特点，提出了一种将模糊逻辑、预瞄规律和自适应PID控制相结合的控制策略，建立起了相应的模型，验证了该方法的可行性和有效性，并提出了进一步改进的方向。     

基于神经网络的半主动悬架自适应模糊控制

提出了基于神经网络的自适应模糊控制策略。模糊控制主要用来对付系统的非线性；神经网络根据振动响应的方差递推结果来辨识车体的振动情况实时调节模糊控制器的量化因子，使模糊控制器对路面的变化具有自适应的能力。在半主动悬挂1／4车非线性模型的基础上进行了仿真研究。     

汽车车速巡航模糊控制

汽车巡航控制系统是一种汽车辅助驾驶系统，可以在40～200km／h的车速范围内，启动该系统，人为设定一个车速，驾驶员将不需再操控油门，系统即可自动控制汽车恒速行驶。由于汽车巡航控制系统的强非线性，以及受外界负荷的扰动、复杂的运行工况等因素影响，该系统较适合采用模糊自整定HD控制方法，以保证系统具有良好的动态稳定性。     

主导产业理论对区域汽车产业战略选择的挑战

在我国经济发展中,确定汽车产业是主导产业是十分重要的。目前在各省经济界对汽车产业是否为支柱产业,是否为主导产业有不同的意见。从理论和实践层面,从产业间产业结构演变规律和汽车业自身发展规律入手,说明了汽车产业在我国国民经济发展中的主导作用。     

长江武汉段航行危险度的模糊综合评价

介绍了模糊综合评价法的数学原理,建立航道航行危险度评价模型,并对长江武汉段的航行危险度进行了综合评价。     

“任务驱动教学法”在外贸英语函电教学中的应用

“任务驱动教学法”是以学生为主体,以教师为主导,通过发挥语言的交际功能解决实际问题的教学方法。将“任务驱动教学法”引入针对性、实践性强的外贸英语函电课堂可以让学生在完成任务的过程中掌握并巩固相关的知识要点,同时也有利于培养学生运用英语解决实际问题的能力。本文对“任务驱动教学法”在外贸英语函电教学中的应用进行了探讨。