基于ADAMS的弹性车轮振动分析

通过ADAMS VIEW软件建立模型,采用将弹性车轮引入轮毂电机系统的使用,通过编写接触算法解决动态接触时的高频振动问题,并通过参数优化选择,来达到如何能最大程度并且合理的降低轮芯处轮毂电机系统所受到的振动冲击目的。研究结果表明,弹性车轮的引入能够很大程度上减少通过轨缝时对轮毂电机产生的冲击,在对刚度参数进行合理的选择分析后,最高减小了78.5%的正向冲击加速度以及56.1%的负向冲击加速度。能够有效的达到减小轮毂电机冲击,降低了电机在机械方面安全性隐患的目的。     

驾驶模拟器视景仿真系统的模块化建模方法

在KMRTS驾驶模拟系统的核心模块——视景仿真系统已有的研究基础上,提出一种模块化方法来提高视景建模的效率,并给出该方法的基本思想、关键理论、程序设计流程及相应实例,应用结果证明该方法满足驾驶模拟器视景仿真系统的实时性与逼真性的要求,提高视景建模的效率。     

基于PROFINET的船舶高压电站监控系统设计

以实验室船舶高压电站物理仿真系统为模型,设计一种高通讯效率的船舶高压电站监控系统。该系统以ProfiNet为基础,把网络分成三层,将核心控制器PLC和人机界面触摸屏并入工业以太网,使现场设备经现场总线与PLC实现通信,再经由PLC并入工业以太网,完成网络的创建及监控系统的统一,最终完成对船舶电站的网络控制和实时监测以及船舶电站系统故障后保护和报警等功能的实现。     

“南越王船”研究

作者对西汉南越文王墓出土的一个提筒上的船纹进行了研究,发现该船纹绘有首锚、水密舱、尾舵,由此可见首锚、水密舱、尾舵在我国出现的时间应不迟于秦汉时期。     

组态王软件在客运照明系统中的应用

介绍工业自动化通用软件包"组态王"软件的特点.以在客运照明系统中的应用为例,介绍组态王点数的选取、与PLC的连接、变量库的建立和连接以及主要功能模块的设计.     

Optimal Genetic View Selection Algorithm for Data Warehouse

To efficiently solve the materialized view selection problem, an optimal genetic algorithm of how to select a set of views to be materialized is proposed so as to achieve both good query performance and low view maintenance cost under a storage space constraint. First, a pre-processing algorithm based on the maximum benefit per unit space is used to generate initial solutions. Then, the initial solutions are improved by the genetic algorithm having the mixture of optimal strategies. Furthermore, the generated infeasible solutions during the evolution process are repaired by loss function. The experimental results show that the proposed algorithm outperforms the heuristic algorithm and canonical genetic algorithm in finding optimal solutions.     

水位系统在线预测控制

介绍以PCT-Ⅲ型过程控制设备为对象,以组态王软件为平台,对水位实现在线预测控制.根据理论给定液位与通过牛顿7017模块实际采集液位作比较,应用优化算法,先预测下一步的液位,然后进行比较计算修正在线控制液位,使液位按照预定的轨迹到达给定液位.实验证明预测控制水位响应速度快,相对PID控制来说没有超调,比较精确,得到满意的控制效果.     

工业组态软件在舞台设备计算机控制系统中的应用

King View组态软件是国内的一款工控软件.本控制系统用此组态软件作为舞台机械设备计算机控制系统的上位机软件,并介绍舞台机械设备计算机控制系统和组态软件.     

船舶车钟操纵主机模拟装置的研制

介绍了船舶车钟操纵主机模拟装置的硬件组成,工作模式,控制程序及监控界面组态。     

Personalised feedback and eco-driving: An explorative study

Conventional road transport has negative impact on the environment. Stimulating eco-driving through feedback to the driver about his/her energy conservation performance has the potential to reduce CO₂ emissions and promote fuel cost savings. Not all drivers respond well to the same type of feedback. Research has shown that different drivers are attracted to different types of information and feedback. The goal of this paper is to explore which different driver segments with specific psychographic characteristics can be distinguished, how these characteristics can be used in the development of an ecodriving support system and whether tailoring eco-driving feedback technology to these different driver segments will lead to increased acceptance and thus effectiveness of the eco feedback technology. The driver segments are based on the value orientation theory and learning orientation theory. Different possibilities for feedback were tested in an exploratory study in a driving simulator. An explorative study was selected since the choice of the display (how and when the information is presented) may have a strong impact on the results. This makes testing of the selected driver segments very difficult. The results of the study nevertheless suggest that adapting the display to a driver segment showed an increase in acceptance in certain cases. The results showed small differences for ratings on acceptation, ease of use, favouritism and a lower general rating between matched (e.g., learning display with learning oriented drivers) and mismatched displays (e.g., learning display with performance oriented drivers). Using a display that gives historical feedback and incorporates learning elements suggested a non-verifiable increase in acceptance for learning oriented drivers. However historical feedback and learning elements may be less effective for performance oriented drivers, who may need comparative feedback and game elements to improve energy conserving driving behaviour.