榆佳高速公路工程综合管理系统在过程管理中的实践与应用

对榆佳高速公路综合管理系统的功能以及在实践中的应用做了详细阐述,信息化管理有助于提高项目管理效率、提升形象、增进沟通、降低成本,从而提高企业核心竞争力.信息化管理推进了项目建设的规范化运作,有助于精品工程的实现.     

铁路专用线视频监控系统的研究

介绍一种与车号识别相结合的视频监控系统,描述系统构成和功能.     

铁路延伸客服系统设计方案研究

随着客运专线铁路及电子商务的兴起,延伸铁路客运服务信息系统将为旅客提供更加便捷高效的服务,介绍了延伸旅客服务信息系统的总体方案及设计。     

网络化测控中SVG技术的应用

探讨在网络化测控软件中如何将测试结果曲线进行WEB发布,并结合SVG和XSLT技术实现测试过程的实时图形监测.     

浅谈质量体系内部审核采用成熟度评价的必要性

质量管理体系内审是组织进行质量体系管理自我完善的重要手段之一,一直以来通常采用符合性评价的方式,评价结束给的评价结论一般是定性的,如符合、基本符合和有效、基本有效;无法用一个量化的数据真实反映组织质量管理体系整体运行的成熟度.那么如何开发一套质量体系评价管理方法,采用量化的数据进行质量管理体系成熟度评价,全面掌握组织质...     

宝马车系诊断设备及电控发动机的重点组成部件

介绍宝马发动机电控系统诊断信息、车间诊断设备、电控发动机的重点组成部件。     

Fuzzy and adaptive fuzzy control for the automobiles’ active suspension system

Two typical criteria for good vehicle suspension performance are their ability to provide good road handling and increased passenger comfort. The main disturbance affecting these two criteria is terrain irregularities. Active suspension control systems reduce these undesirable effects by isolating car body motion from vibrations at the wheels. This paper describes fuzzy and adaptive fuzzy control (AFC) schemes for the automobile active suspension system (ASS). The design objective is to provide smooth vertical motion so as to achieve the road holding and riding comfort over a wide range of road profiles. The efficacy of the proposed control schemes is demonstrated via simulations. With respect to the optimal linear quadratic regulator (LQR), it is shown that superior results have been achieved by the AFC.     

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.     

An Original Feedback Control with a Reversible Electromechanical Actuator Used as an Active Isolation System for a Seat Suspension. Part I: Theoretical Study

This paper provides an overview of a theoretical study of an active seat suspension. The principal objective of this study is to improve ride passenger comfort by reducing transmitted seat acceleration. The seat is represented by a non-linear two degree of freedom model. The system is linearized for small perturbations around the equilibrium. To control the dynamic of the seat suspension, an original feedback control command with a reversible electromechanical actuator is achieved. The synthesis of the regulator is realized on the linearized model of the seat suspension and the root locus method is employed. Stability and robustness characteristics have been studied. Numerical simulations in time and frequency domain show the interests of the regulator and its capability to isolate seat passenger.     

Dynamic model for ride comfort evaluations of the rubber-tired light rail vehicle

The dynamic model was developed to evaluate vibration accelerations and ride comforts during the running of the Korean-standardised rubber-tired light rail vehicle. Ride comfort indexes were analysed and tested in accordance with UIC 513R by using the dynamic model and the actual vehicle in the test track. Based on the comparisons between analysis results and test results, the validity of the developed dynamic model was evaluated. It was verified whether or not the developed Korean-standardised rubber-tired light rail vehicle met the specified target specification on ride comfort. In addition, the influence of the wearing of guide wheels on ride comfort was estimated.