地铁高架站站台送风舒适度分析

针对南方某地铁线路高架车站站台设置送风系统方案,采用舒适度评价方法进行定量分析,得出结论：在夏季,高架站站台送风系统设计的必要性不大,因高架站站台设机械通风对人的舒适感没有太多的作用,因此可以不设机械通风,而延用自然通风方案即可。     

某重型卡车全浮式驾驶室悬置系统设计

结合整车对全浮式驾驶室悬置系统的总体要求,利用理论计算、动力学仿真、有限元分析等方法进行各种工况模拟以及悬置性能分析,确保悬置系统各方面满足设计要求。实际样车在不同路况、速度下验证了悬置系统隔振率、平顺性、可靠性满足设计要求。通过对设计过程的总结,形成了一套驾驶室悬置系统设计方法、明确了性能评价指标和相关试验要求。     

船舶舱室环境热舒适性控制新技术综述

船舶舱室环境热舒适性是影响船员身体健康和工作效率的重要影响因素,发展合适的舒适性控制新技术以创建良好的舱室环境热舒适性是船舶通风空调系统的主要任务.该文对船舶舱室环境热舒适性控制新技术进行总结和综述,对船舶舱室环境热舒适性控制新技术的发展具有一定的借鉴意义.     

Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities

This study investigates the impacts of physical environments on bicyclists’ perceptions of comfort on separated and on-street bicycle facilities. Based on a field investigation conducted in Nanjing, China, we find that physical environmental factors significantly influencing bicyclists’ perception of comfort on the two types of facility. Cyclists’ comfort is mainly influenced by the road geometry and surrounding conditions on physically separated paths while they pay attention to the effective riding space and traffic situations on on-street bicycle lanes.     

计及导向摆臂约束的重型货车驾驶室俯仰平面动力学模型

传统的重型货车驾驶室俯仰平面动力学模型没有考虑悬置导向机构的影响,仅能粗略计算驾驶室垂向和俯仰响应,无法计算驾驶室质心的纵向振动特性,因而其仿真精度较低,且在实际工程应用中受到了限制.为提高模型精度并拓宽其工程应用范围,创建了考虑导向摆臂约束作用的驾驶室俯仰平面动力学模型,分析了摆臂导向机构的约束特性.在此基础上,通过...     

斜拉桥最大悬臂阶段抖振响应及其对施工人员影响

对某一斜拉桥进行最大双悬臂和最大单悬臂的空间有限元分析,采用时域分析方法,计算不同阻尼工况下,桥梁在不同攻角风作用下的抖振响应,通过频谱分析,讨论最不利施工状态下桥梁抖振响应对施工人员安全的影响。研究表明:抖振作用下的Diekemann舒适度指标值较大,对施工人员安全和桥梁施工质量均有影响,应采用一定的控制措施。     

汽车平顺性时域仿真分析

采用虚拟试验场技术进行了汽车行驶平顺性的时域仿真。建立了面向汽车平顺性分析的整车刚弹耦合有限元模型,同时建立了脉冲输入路面模型和随机输入路面模型。采用1/3倍频带分布加速度均方根值方法及总加权方法对试验车辆的平顺性进行了评价。试验结果表明,运用虚拟试验场技术能够真实地反映汽车的行驶平顺性,仿真分析结果可靠。     

Enhancing grey prediction fuzzy controller for active suspension systems

A grey prediction fuzzy controller (GPFC) was proposed to control an active suspension system and evaluate its control performance. The GPFC employed the grey prediction algorithm to predict the position output error of the sprung mass and the error change as input variables of the traditional fuzzy controller (TFC) in controlling the suspension system to suppress the vibration and the acceleration amplitudes of the sprung mass for improving the ride comfort of the TFC used; however, the TFC or GPFC was employed to control the suspension system, resulting in a large tire deflection so that the road-holding ability in the vehicle becomes worse than with the original passive control strategy. To overcome the problem, this work developed an enhancing grey prediction fuzzy controller (EGPFC) that not only had the original GPFC property but also introduced the tire dynamic effect into the controller design, also using the grey prediction algorithm to predict the next tire deflection error and the error change as input variables of another TFC, to control the suspension system for enhancing the road-holding capability of the vehicle. The EGPFC has better control performances in suppressing the vibration and the acceleration amplitudes of the sprung mass to improve the ride quality and in reducing the tire deflection to enhance the road-holding ability of the vehicle, than both TFC and GPFC, as confirmed by experimental results.     

Parameters optimisation of a vehicle suspension system using a particle swarm optimisation algorithm

The purpose of this paper is to determine the lumped suspension parameters that minimise a multi-objective function in a vehicle model under different standard PSD road profiles. This optimisation tries to meet the rms vertical acceleration weighted limits for human sensitivity curves from ISO 2631 [ISO-2631: guide for evaluation of human exposure to whole-body vibration. Europe; 1997] at the driver's seat, the road holding capability and the suspension working space. The vehicle is modelled in the frequency domain using eight degrees of freedom under a random road profile. The particle swarm optimisation and sequential quadratic programming algorithms are used to obtain the suspension optimal parameters in different road profile and vehicle velocity conditions. A sensitivity analysis is performed using the obtained results and, in Class G road profile, the seat damping has the major influence on the minimisation of the multi-objective function. The influence of vehicle parameters in vibration attenuation is analysed and it is concluded that the front suspension stiffness should be less stiff than the rear ones when the driver's seat relative position is located forward the centre of gravity of the car body. Graphs and tables for the behaviour of suspension parameters related to road classes, used algorithms and velocities are presented to illustrate the results. In Class A road profile it was possible to find optimal parameters within the boundaries of the design variables that resulted in acceptable values for the comfort, road holding and suspension working space.     

Towards comfort-optimal trajectory planning and control

ABSTRACT

This paper describes a method to analyse and evaluate different trajectory planning methods and controller types for usage in automated vehicles. Its application is shown by using a novel trajectory planning approach considering comfort aspects (based on Rapidly Exploring Random Tree (RRT)), two different controllers to follow the planned path (cascade controller and flatness based controller) and a simulation method to obtain resulting lateral vehicle accelerations. The method is used to plan and drive a trajectory through a roundabout. It can be seen that the lateral accelerations of the controller-driven vehicle are in the range of the values used for planning. However, the results of both controllers show differences in lateral deviation and in smoothness of lateral accelerations. The simulation results are then compared to real-world test drives in the same roundabout. The measured lateral accelerations are in the same range as well but show a smoother progression than the two controller models.